CN108769526A - Image adjusting method, device, equipment and storage medium - Google Patents
Image adjusting method, device, equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/15—Conference systems
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Abstract
The invention discloses an image adjusting method, an image adjusting device, image adjusting equipment and a storage medium. The method comprises the following steps: receiving an infrared intensity information set collected and formed by an infrared sensor in the current environment; if the infrared intensity information set has an infrared intensity value greater than an intensity threshold value, acquiring the RGB value of each pixel point in the current image frame displayed by the screen; determining a region to be adjusted which meets the conditions according to the RGB values, and generating an adjusting instruction corresponding to the region to be adjusted; and controlling the camera to perform image adjustment on the next collected image frame based on the adjustment instruction. By using the method, in the process of video, the RGB value of each pixel point in the current image frame of the screen is analyzed to generate an adjusting instruction to control the camera to adjust the image of the next image frame, so that the quality of the image acquired by the camera is effectively improved, and the user experience of the image adjusting equipment is improved.
Description
Technical field
The present embodiments relate to video image technical field more particularly to a kind of image adjusting method, device, equipment and
Storage medium.
Background technology
With the development of network technology and the communication technology, the application of video conference is more and more extensive.Video conference is that collection regards
Frequently, audio and data are in communication in integrated meeting, are capable of the image and sound in each meeting-place of real-time Transmission, make to participate in different location
The participant of meeting feels to carry out the effect of " face-to-face " talk with remaining participant.
Currently, the acquired image under different light of video camera used by video conference will appear overexposure or excessively dark
The case where, and video camera used by video conference at present is mostly common camera, and can only acquire image can not base
Adjustable strategies are determined in the image of acquisition to overcome overexposure or excessively dark situation, and which results in participants to carry out video conference
The image of Cheng Zhong, shot by camera cannot be high-visible, and strong influence participant carries out the experience of video conference.
Invention content
A kind of image adjusting method, device, equipment and storage medium provided by the invention, to effectively improve video camera shooting
The quality of image.
In a first aspect, an embodiment of the present invention provides a kind of image adjusting methods, including：
Receive the infrared intensity information collection that infrared inductor acquires formation in current environment；
If the infrared intensity information concentrates the infrared intensity value existed more than intensity threshold, obtain shown by screen
The rgb value of each pixel in current image frame；
The region to be adjusted for the condition that meets is determined according to each rgb value, and generates the corresponding tune in the region to be adjusted
Whole instruction；
Video camera is controlled based on the adjust instruction, and Image Adjusting is carried out to the next image frame of acquisition.
Second aspect, the embodiment of the present invention additionally provide a kind of image adjusting device, including：
Strength set receiving module acquires the infrared intensity information of formation for receiving infrared inductor in current environment
Collection；
Rgb value acquisition module, for concentrating the infrared intensity value existed more than intensity threshold when the infrared intensity information
When, obtain the rgb value of each pixel in current image frame shown by screen；
Directive generation module, the region to be adjusted for determining the condition that meets according to each rgb value, and waited for described in generation
The corresponding adjust instruction of adjustment region；
Control module is adjusted, image is carried out to the next image frame of acquisition for controlling video camera based on the adjust instruction
Adjustment.
The third aspect, the embodiment of the present invention additionally provide a kind of Image Adjusting equipment, including：Infrared inductor, screen and
Video camera further includes：
The one or more processors being connected with the infrared inductor, the screen and the video camera；
Storage device, for storing one or more programs；
One or more of programs are executed by one or more of processors so that one or more of processors
Realize image adjusting method provided in an embodiment of the present invention.
Fourth aspect, the embodiment of the present invention additionally provide a kind of computer readable storage medium, are stored thereon with computer
Program, the program realize image adjusting method provided in an embodiment of the present invention when being executed by processor.
An embodiment of the present invention provides a kind of image adjusting method, device, equipment and storage mediums, receive infrared sense first
Device is answered to acquire the infrared intensity information collection of formation in current environment；If secondly the infrared intensity information is concentrated to exist and is more than
The infrared intensity value of intensity threshold then obtains the rgb value of each pixel in current image frame shown by screen；Then according to each institute
It states rgb value and determines the region to be adjusted for the condition that meets, and generate the corresponding adjust instruction in the region to be adjusted；It is based ultimately upon institute
It states adjust instruction control video camera and Image Adjusting is carried out to the next image frame of acquisition.Using above-mentioned technical proposal, can into
During row video, by the rgb value of each pixel in analysis screen current image frame, adjust instruction is generated to control camera shooting
Machine carries out Image Adjusting to next image frame, is effectively improved the quality of the acquired image of video camera, improves Image Adjusting
The user experience of equipment.
Description of the drawings
Fig. 1 is a kind of flow diagram for image adjusting method that the embodiment of the present invention one provides；
Fig. 2 is a kind of flow diagram of image adjusting method provided by Embodiment 2 of the present invention；
Fig. 3 is a kind of flow diagram for image adjusting method that the embodiment of the present invention three provides；
Fig. 4 is a kind of structural schematic diagram for image adjusting device that the embodiment of the present invention four provides；
Fig. 5 is a kind of hardware architecture diagram for Image Adjusting equipment that the embodiment of the present invention five provides.
Specific implementation mode
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limitation of the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It also should be noted that only the parts related to the present invention are shown for ease of description, in attached drawing rather than
Full content.It should be mentioned that some exemplary embodiments are described before exemplary embodiment is discussed in greater detail
At the processing or method described as flow chart.Although operations (or step) are described as the processing of sequence by flow chart,
It is that many of which operation can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be by again
It arranges.The processing can be terminated when its operations are completed, it is also possible to the additional step being not included in attached drawing.
The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment one
Fig. 1 is a kind of flow diagram for image adjusting method that the embodiment of the present invention one provides, and the present embodiment is applicable
The case where carrying out Image Adjusting to the image of camera acquisition during video, this method can be provided by the embodiment of the present invention
Image adjusting device execute, wherein the device can be by software and or hardware realization, and be typically integrated in Image Adjusting equipment
On.Image Adjusting equipment can be the equipment such as video television, computer and mobile phone in the present embodiment.
As described in Figure 1, a kind of image adjusting method that the embodiment of the present invention one provides, includes the following steps：
S101, the infrared intensity information collection that infrared inductor acquires formation in current environment is received.
In the present embodiment, infrared inductor can be understood as the device for detecting infrared luminous intensity in Image Adjusting equipment
Part.Current environment can be understood as the external environment that infrared inductor is presently in.Infrared intensity information collection can be understood as red
The set of each infrared intensity value of outer inductor acquisition.
Usually, infrared inductor is to utilize the infrared intensity information collection in infrared reflection principle acquisition current environment
's.Specifically, when a certain position of the hand of user or body is in the radiation scope of infrared inductor, in infrared inductor
The infrared ray that infrared transmitting tube is sent out is since user hand or body are blocked and be reflected into infrared receiver tube, to realize
Acquisition to infrared intensity information collection in current environment.It should be noted that infrared inductor can also directly acquire user institute
The infrared signal of radiation.It is worth noting that user can be understood as carrying out the people of video in the present embodiment.Illustratively, such as
Fruit the present embodiment image adjusting method is applied in video conference, then the user indicates participant.
In the present embodiment, this step can acquire the infrared of formation with real-time reception infrared inductor in current environment
Strength information collection, to judge to whether there is user in current environment based on the infrared intensity information collection got.The explanation of value
It is that infrared inductor can be arranged in Image Adjusting equipment, more specifically infrared inductor can close on Image Adjusting equipment
Middle video camera setting, in order to preferably determine video camera radiate in the range of there are users.
If S102, infrared intensity information concentrate the infrared intensity value existed more than intensity threshold, obtains screen and show
Show the rgb value of each pixel in current image frame.
In the present embodiment, intensity threshold can be understood as that there are user institutes in infrared inductor current environment for determining
The infrared intensity value of setting.Screen can be understood as the display terminal for showing video image in Image Adjusting equipment.Currently
Picture frame can be understood as picture frame currently displayed on screen.
Usually, after the infrared intensity information collection for obtaining the acquired formation of infrared inductor, this step can be to infrared
The infrared intensity information collection that inductor is received is analyzed, and whether there is user in current environment to determine.
Specifically, infrared intensity information can be concentrated each infrared intensity value to be compared with intensity threshold by this step, such as
There are at least one or preset quantity infrared intensity values to be more than intensity threshold in fruit infrared intensity value, it may be considered that currently
There are users in environment.The explanation of value, all objects all in outwardly infrared radiation, are received when infrared inductor
When infrared intensity value is more than intensity threshold, it is believed that the infrared signal is given off by user.
It should be noted that a strength range can also be arranged in this step, concentrates and exist in strong when infrared strength information
When spending the infrared intensity value in range, it is believed that there are users in current environment.
In this step, if it is determined that infrared intensity information concentrates the infrared intensity value existed more than intensity threshold, then may be used
To obtain the current image frame shown by screen, and it can determine current image frame by carrying out Luminance Analysis to current image frame
The middle region for needing to adjust.Specifically, this step can obtain the rgb value of each pixel in current image frame, based on acquisition
Rgb value carries out gamma adjustings and the brightness regulation of current image frame.It should be noted that this step can be by adjusting brightness
Curve, which is realized, adjusts the gamma of current image frame, and when current image frame brightness is adjusted, it can be current by adjusting
The rgb value of picture frame is realized.
In the present embodiment, if video camera is in off working state, this step is concentrated in infrared intensity information to be existed
More than intensity threshold infrared intensity value when, video camera booting acquired image frames can be controlled and control the screen display image
Frame, and obtain the rgb value of each pixel in the current image frame shown by screen；If video camera is in running order, this
Step can obtain shown by screen and currently scheme when infrared intensity information is concentrated and there is the infrared intensity value more than intensity threshold
As the rgb value of each pixel in frame.
S103, the region to be adjusted that the condition that meets is determined according to each rgb value, and generate the corresponding adjustment in region to be adjusted and refer to
It enables.
In the present embodiment, region to be adjusted can be understood as the region for needing to carry out brightness adjustment in current image frame.
Adjust instruction can be understood as the instruction for corresponding to rgb value in the region to be adjusted determined, the instruction is for controlling video camera
Carry out Image Adjusting.
Usually, when acquiring image under excessively bright light when video camera, the image collected will appear overexposure phenomenon；When
When video camera acquires image under excessively dark light, the image collected will appear dark situation.Further, since user's body
Light source suffered by different parts is different, may be simultaneously present dark areas and overexposure region in the image of camera acquisition.
When occurring overexposure region in image or crossing dark areas, it can cause the user in image cannot be high-visible, from
And influence video quality.Therefore in this step, the rgb value based on each pixel in current image frame is determined in current image frame
Overexposure and/or excessively dark region are as region to be adjusted.This step generates the region to be adjusted after determining region to be adjusted
Adjust instruction, picture frame is adjusted with being based on the adjust instruction.
It is understood that this step can judge simultaneously during determining region to be adjusted be in current image frame
It is no that there are overexposure regions and dark areas excessively；It can also first judge to whether there is overexposure region in current image frame, then judge whether
In the presence of dark areas；It can also first judge to whether there is overexposure region in current image frame, then judge whether dark areas.
S104, next image frame progress Image Adjusting of the video camera to acquisition is controlled based on adjust instruction.
Usually, video refer to a series of still images are acquired as electronic signals, are noted down, are handled, are stored,
Transmission and the various technologies reappeared.Each frame is all static image in video, this step can be by each figure in video
As frame is adjusted to improve the effect of user video.
In this step, after determining adjust instruction according to each rgb value, video camera pair can be controlled according to the adjust instruction
The next image frame of acquisition carries out Image Adjusting, can be effectively improved and be regarded using the image adjusting method according to persistence of vision principle
The quality of image during frequency.
A kind of image adjusting method that the embodiment of the present invention one provides receives infrared inductor and is adopted in current environment first
Collect the infrared intensity information collection formed；If secondly the infrared intensity information concentrates the infrared intensity existed more than intensity threshold
Value, then obtain the rgb value of each pixel in current image frame shown by screen；Then item is met according to each rgb value determination
The region to be adjusted of part, and generate the corresponding adjust instruction in the region to be adjusted；The adjust instruction control is based ultimately upon to take the photograph
Camera carries out Image Adjusting to the next image frame of acquisition.Using this method, analysis can be passed through during carrying out video
The rgb value of each pixel in screen current image frame generates adjust instruction to control video camera and carries out image to next image frame
Adjustment, is effectively improved the quality of the acquired image of video camera, improves the user experience of Image Adjusting equipment.
Embodiment two
Fig. 2 is a kind of flow diagram of image adjusting method provided by Embodiment 2 of the present invention, and the present embodiment is above-mentioned
It is optimized on the basis of each embodiment.In the present embodiment, the area to be adjusted for the condition that meets will be determined according to each rgb value
Domain is further detailed as：If there is the rgb value to be adjusted for meeting default regularization condition in each rgb value, based on each
The corresponding pixel of the rgb value to be adjusted forms region to be adjusted.
Further, if the present embodiment will also have the RGB to be adjusted for meeting default regularization condition in each rgb value
Value is then based on the corresponding pixel of each rgb value to be adjusted and forms region to be adjusted, advanced optimize for：If each described
There is the first rgb value more than set interval maximum value in rgb value, then forms pixel corresponding to each first rgb value
Region be determined as image exposure area, will be described and when it includes human face image information that identification, which determines in described image exposure region,
The corresponding region of human face image information is determined as the first region to be adjusted.
On the basis of above-mentioned optimization, the next image frame of acquisition is carried out by video camera is controlled based on the adjust instruction
Image Adjusting is specifically optimized for：The first adjustment obtained corresponding to the described first Area generation to be adjusted instructs, and by described the
One adjust instruction is sent to video camera, and the first adjustment instruction includes constituting the pixel dot position information in the first region to be adjusted
And the first adjustment amplitude；
The video camera is controlled to be determined corresponding to described in acquired next image frame according to the first adjustment instruction
First image-region in the first region to be adjusted, and control the video camera and brightness reduction tune is carried out to described first image region
It is whole.
On the basis of above-mentioned optimization, the present embodiment, which advanced optimizes, to be increased：The video camera is received to acquiring down
One picture frame carries out the target image frame formed after Image Adjusting, and the target image frame is shown as new current image frame
Show and returns to the reception operation for executing infrared information collection on the screen.The not yet detailed content of the present embodiment please refers to implementation
Example one.
As shown in Fig. 2, a kind of image adjusting method provided by Embodiment 2 of the present invention, includes the following steps：
S201, the infrared intensity information collection that infrared inductor acquires formation in current environment is received.
Receive the infrared intensity information collection that formation is acquired in infrared inductor current environment first in this step, wherein
Infrared induction signal obtains each infrared intensity value in current environment to form infrared intensity information collection in real time.
S202, judge that infrared intensity information is concentrated with the presence or absence of the infrared intensity value more than intensity threshold, if so, executing
S203；S201 is executed if it is not, then returning.
In this step if infrared intensity information concentrates the infrared intensity value existed more than intensity threshold, can carry out
Subsequent image adjustment operation, you can to execute S203；If infrared intensity information is concentrated, there is no infrared more than intensity threshold
Intensity value can then return it can be said that user is not present in bright current environment and continue to infrared inductor in current environment
The infrared intensity information collection that middle acquisition is formed, until there are users in current environment.
It should be noted that when infrared strength information is concentrated and the infrared intensity value more than intensity threshold is not present, if
Current camera is in off working state, then can continue that video camera is kept to be in the off working state；If video camera is in
Working condition can then control video camera and enter off working state (as entered suspend mode or sleep pattern).Further, if
The infrared intensity value for being more than intensity threshold is not present in infrared intensity information concentration in the preset time and video camera is in work
State can then control video camera and enter off working state.
S203, the rgb value for obtaining each pixel in current image frame shown by screen.
S204, judge with the presence or absence of the first rgb value more than set interval maximum value in each rgb value, if so, executing
S205；If it is not, then executing S209.
In the present embodiment, when set interval can be understood as brightness of image and be within the scope of normal brightness, residing for rgb value
Section.Set interval maximum value can be understood as the right end point value in section.
Usually, when each rgb value is in set interval in image, it may be considered that the brightness of the image is in normal
In brightness range；When there is the rgb value more than set interval in image, it may be considered that the rgb value position is overexposure area
Domain；When there is the rgb value less than set interval in image, it may be considered that the rgb value position was dark areas.It is exemplary
Ground, set interval can be [16 235], and correspondingly, set interval maximum value is then 235, then the first rgb value is then appreciated that
To be more than 235 rgb value in each rgb value；Overexposure region can be understood as the pixel institute shape that rgb value is in [235 255]
At region；It crosses dark areas and can be understood as at rgb value the pixel of [0 16] and be formed by region.
In this step, when there is the first rgb value more than set interval maximum value in each rgb value, can be directed to should
Pixel is further analyzed corresponding to first rgb value, you can to execute S205；When there is no be more than to set in each rgb value
When determining the first rgb value of section maximum value, it may be said that overexposure region is not present in bright current image frame, then can execute S209.
It should be noted that this step in having judged each rgb value with the presence or absence of the of the maximum value more than set interval
After one rgb value, can further it judge with the presence or absence of the rgb value less than set interval minimum value in each rgb value, if so, can
To illustrate to exist in current image frame dark areas, then brightness increase processing can be carried out to crossing dark areas, it can after brightness processed
To execute S208；If it is not, it can be said that dark areas was not present in bright current image frame, S208 can be handled.
S205, the region that pixel corresponding to each first rgb value is formed is determined as to image exposure area, and when identification determines
When in image exposure area including human face image information, the corresponding region of human face image information is determined as the first region to be adjusted.
In the present embodiment, image exposure region can be understood as the region that brightness is excessively bright in image, i.e. overexposure region.This
Step is formed by region after determining each first rgb value, by the pixel corresponding to each first rgb value and is determined as image exposure
Light area carries out Image Adjusting, to effectively increase the efficiency of Image Adjusting to be directed to the image exposure area.
Usually, in order to improve image processing efficiency, this step may further determine that after determining image exposure area
Go out the region corresponding to human face image information in image exposure area, Image Adjusting is carried out to be directed to the region.
Specifically, this step can further judge that image exposure area whether there is human face image information, if image exposes
Include human face image information in light area, then the corresponding region of human face image information can be determined as to the first region to be adjusted, with
Image Adjusting is carried out for first region to be adjusted；It, can not if not including human face image information in image exposure area
Carrying out Image Adjusting to the image exposure area correspondingly can execute S209.
S206, the first adjustment obtained from preset relation table corresponding to the first Area generation to be adjusted instruct, and by the
One adjust instruction is sent to video camera.
In the present embodiment, preset relation table can be understood as pre-set being stored with each rgb value and corresponding adjustment
The tables of data of instruction.After determining the first region to be adjusted, this step can obtain in preset relation table corresponds to first
The first adjustment instruction that area to be adjusted generates, and the first adjustment instruction is sent to video camera, carry out figure to control video camera
As adjustment.
Wherein, the first adjustment instruction can be understood as carrying out the raised instruction of brightness of image.The first adjustment instructs
Including the pixel dot position information for constituting the first region to be adjusted and corresponding the first adjustment amplitude.The location information of pixel can
To be taken as coordinate information of the vegetarian refreshments in its residing image.The first adjustment amplitude can be understood as corresponding to each pixel
Adjust instruction.
S207, control video camera determine in acquired next image frame according to the first adjustment instruction and wait adjusting corresponding to first
First image-region in main plot domain, and control the first image-region of video camera pair and carry out brightness reduction adjustment.
In the present embodiment, next image frame can be understood as the next frame image of current image frame.This step is by
After one adjust instruction is sent to video camera, it is true in the next image frame of acquisition according to the first adjustment instruction that video camera can be controlled
Surely the first image-region for corresponding to the first adjustment region, to carry out Image Adjusting to first image-region determined.
For this step when determining the first image-region, the location information of each pixel is true in being instructed based on the first adjustment
It is the first image-region to make and be in the region of same position in next image frame with each pixel in the first picture frame.
This step can control video camera and carry out brightness drop to first image-region after determining the first image-region
Low-key is whole.Specifically, each RGB in the first adjustment amplitude and the first image-region during this step can be instructed based on the first adjustment
Value, which carries out brightness, reduces adjustment.
S208, the target image frame that video camera to acquired next image frame formed after Image Adjusting is received, and will
Target image frame is shown on the screen as new current image frame, is returned and is executed S201.
In the present embodiment, target image frame can be understood as carrying out the picture frame after Image Adjusting.In this step, inciting somebody to action
After the first adjustment instruction is sent to video camera, it can receive after video camera carries out Image Adjusting to acquired next image frame and be formed
Target image frame, and the picture frame is displayed on the screen.
It is understood that the image adjusting method in the present embodiment can be applied in video conference, so this step
After being displayed on the screen target image frame, the reception operation for executing infrared information collection can be returned to, to continue to subsequent figure
As frame progress Image Adjusting until video terminates, i.e., infrared intensity information concentrates the infrared intensity value being not present more than intensity threshold
(user is not present in current environment).
S209, the position in video image is in based on current image frame, determines corresponding third adjust instruction, and control
Video camera is handled the next image frame acquired according to third adjust instruction, executes S208.
In the present embodiment, the rgb value of this step each pixel in current image frame, which is not present, is more than set interval most
When the first rgb value being worth greatly, the location determination that can be in video image based on current image frame goes out Image Adjusting mode.
Specifically, if current image frame be video image in first frame image, can determine not to picture frame into
The third adjust instruction of row adjustment.It should be noted that if current image frame is first frame image, it can be said that bright present image
The brightness of frame meets the requirements, and need not carry out brightness adjustment to current image frame, then generate the not be adjusted to picture frame
Three adjust instructions, correspondingly, the signified control video camera of this step according to third adjust instruction to the next image frame of acquisition into
Row processing indicates, directly controls camera acquisition next image frame as target image frame, and receives video camera to acquiring down
The target image frame that one picture frame carries out Image Adjusting formation can be understood as directly receiving the target image frame that video camera is formed.
If current image frame is non-first frame image in video image, can be by a upper adjust instruction for a upper picture frame
As third adjust instruction.It should be noted that if current image frame is not the first frame image in video image, it can be said that
Bright the picture frame after adjusting meets brightness requirement during Image Adjusting in video, then can be according to a upper image
The adjust instruction of frame continues to be adjusted subsequent image frames, i.e., is adjusted a upper adjust instruction for a upper picture frame as third
Instruction is sent to video camera, is handled the next image frame of acquisition according to third adjust instruction with controlling video camera, then
Execute S208.
A kind of image adjusting method provided by Embodiment 2 of the present invention embodies and determines region to be adjusted and control camera shooting
Machine carries out the operation of Image Adjusting；On this basis, also optimize the reception operation for increasing target image frame.Using this method,
, by the rgb value of each pixel in analysis screen current image frame, image exposure can be determined during carrying out video
The corresponding region of human face image information in area, and generate corresponding the first adjustment instruction and carry out brightness reduction tune to control video camera
Location information that is whole or being in video image based on current image frame determines third adjust instruction to control video camera to acquisition
Next image frame handled.Target image frame can also be received and be displayed on the screen target image frame, effectively carried
The quality of the acquired image of video camera, improves the user experience of Image Adjusting equipment during high video.
Embodiment three
Fig. 3 is a kind of flow diagram for image adjusting method that the embodiment of the present invention three provides, and the present embodiment is above-mentioned
It is optimized on the basis of each embodiment.In the present embodiment, the area to be adjusted for the condition that meets will be determined according to each rgb value
Domain is further detailed as：If there is the rgb value to be adjusted for meeting default regularization condition in each rgb value, based on each
The corresponding pixel of the rgb value to be adjusted forms region to be adjusted.
Further, if the present embodiment will also have the RGB to be adjusted for meeting default regularization condition in each rgb value
Value is then based on the corresponding pixel of each rgb value to be adjusted and forms region to be adjusted, advanced optimize for：If each described
There is the second rgb value less than set interval minimum value in rgb value, then forms pixel corresponding to each second rgb value
Region be determined as image and cross dark space, and when identification determine described image cross in dark space include human face image information when, will be described
The corresponding region of human face image information is determined as the second region to be adjusted.
On the basis of above-mentioned optimization, the next image frame of acquisition is carried out by video camera is controlled based on the adjust instruction
Image Adjusting is specifically optimized for：The second adjustment obtained corresponding to the described second Area generation to be adjusted instructs, and by described the
Two adjust instructions are sent to video camera, and the second adjustment instruction includes constituting the pixel dot position information in the second region to be adjusted
And second adjustment amplitude；
The video camera is controlled to be determined corresponding to described in acquired next image frame according to second adjustment instruction
Second image-region in the second region to be adjusted, and control the video camera and brightness raising tune is carried out to second image-region
It is whole.
On the basis of above-mentioned optimization, the present embodiment, which advanced optimizes, to be increased：The video camera is received to acquiring down
One picture frame carries out the target image frame formed after Image Adjusting, and the target image frame is shown as new current image frame
Show and returns to the reception operation for executing infrared information collection on the screen.
As shown in figure 3, a kind of image adjusting method that the embodiment of the present invention three provides, includes the following steps：
S301, the infrared intensity information collection that infrared inductor acquires formation in current environment is received.
S302, judge that infrared intensity information is concentrated with the presence or absence of the infrared intensity value more than intensity threshold, if so, executing
S303；S301 is executed if it is not, then returning.
S303, the rgb value for obtaining each pixel in current image frame shown by screen.
S304, judge with the presence or absence of the second rgb value less than set interval minimum value in each rgb value, if so, executing
S305；S309 is executed if it is not, then returning.
In the present embodiment, set interval minimum value can be understood as the left end point value of set interval.
In this step, when there is the second rgb value less than set interval minimum value in each rgb value, can be directed to should
Pixel corresponding to second rgb value is further analyzed, you can to execute S305；When there is no be less than to set in each rgb value
When determining the second rgb value of section minimum value, it may be said that overexposure region is not present in bright current image frame, then can execute S309.
It should be noted that this step whether there is second less than set interval minimum value in having judged each rgb value
After rgb value, can further it judge with the presence or absence of the rgb value more than set interval minimum value in each rgb value, if so, can be with
Illustrate that there are overexposure regions in current image frame, then can carry out brightness reduction processing to overexposure region, it can be with after brightness processed
Execute S308；If it is not, it can be said that in bright current image frame be not present overexposure region, S308 can be executed.
S305, it the region that pixel corresponding to each second rgb value is formed is determined as image crosses dark space, and when identification determines
When image is crossed in dark space comprising human face image information, the corresponding region of human face image information is determined as the second region to be adjusted.
In the present embodiment, image crosses dark space and can be understood as region excessively dark in image, i.e., dark areas.This step exists
After determining each second rgb value, the pixel corresponding to each second rgb value is formed by region it is determined as image and cross dark space,
Dark space progress Image Adjusting is crossed to be directed to the image, to effectively improve the efficiency of Image Adjusting.
Usually, in order to further increase image processing efficiency, this step, can be into one after determining that image crosses dark space
Step determines that image crosses the region corresponding to human face image information in dark space, and Image Adjusting is carried out to be directed to the region.
Specifically, this step can further judge that image crosses dark space and whether there is human face image information, if image mistake
Include human face image information in dark space, then the corresponding region of human face image information can be determined as second adjustment region, with needle
Image Adjusting is carried out to the second adjustment region；It, can not be to figure if image, which is crossed, does not include human face image information in dark space
Correspondingly S209 can be executed as crossing dark space progress Image Adjusting.
S306, the second adjustment obtained from preset relation table corresponding to the second Area generation to be adjusted instruct, and by the
Two adjust instructions are sent to video camera.
After determining the second region to be adjusted, this step can obtain to be adjusted corresponding to second in preset relation table
The second adjustment of Area generation instructs, and second adjustment instruction is sent to video camera, and image tune is carried out to control video camera
It is whole.
Wherein, second adjustment instruction can be understood as carrying out the instruction of brightness of image reduction.The second adjustment instructs
Constitute the pixel dot position information in the second region to be adjusted and corresponding second adjustment amplitude.The location information of pixel can be managed
Solution is coordinate information of the pixel in its residing image.Second adjustment amplitude can be understood as the adjustment corresponding to each pixel
Instruction.
S307, control video camera determine in acquired next image frame according to second adjustment instruction and wait adjusting corresponding to second
Second image-region in main plot domain, and control the second image-region of video camera pair and carry out brightness raising adjustment.
This step can control video camera and be existed according to second adjustment instruction after second adjustment instruction is sent to video camera
The second image-region determined in next image frame corresponding to the second region to be adjusted is acquired, with to second image determined
Region carries out Image Adjusting.
When determining the second image-region, the location information of each pixel, is determined in being instructed based on second adjustment
The region for being in same position in next image frame with each pixel in the second picture frame is the second image-region.
This step can control video camera and carry out brightness raising to second image-region after determining the second image-region
Adjustment.Specifically, this step can based on second adjustment instruct in second adjustment amplitude and the second image district in each rgb value into
Row brightness increases adjustment.
S308, the target image frame that video camera to acquired next image frame formed after Image Adjusting is received, and will
Target image frame is shown on the screen as new current image frame, is returned and is executed S301.
S309, the position in video image is in based on current image frame, determines corresponding 4th adjust instruction, and control
Video camera is handled the next image frame acquired according to the 4th adjust instruction, executes S308.
In the present embodiment, there is no be less than set interval minimum value in the rgb value of each pixel in current image frame
The second rgb value when, the location determination that can be in video image based on current image frame goes out Image Adjusting mode.
Specifically, it if present image is the first frame image in video image, can determine not carry out picture frame
4th adjust instruction of adjustment.It should be noted that if current image frame is first frame image, it can be said that bright current image frame
Brightness meet the requirements, need not to current image frame carry out brightness adjustment, then generate the 4th not be adjusted to picture frame
Adjust instruction, correspondingly, the signified control video camera of this step carry out the next image frame of acquisition according to the 4th adjust instruction
Processing indicates：Camera acquisition next image frame is directly controlled as target image frame, and receives video camera to acquired next
The target image frame that picture frame carries out Image Adjusting stroke can be understood as directly receiving the target image frame that video camera is formed.
If current image frame is non-first frame image in video image, can be by a upper adjust instruction for a upper picture frame
As the 4th adjust instruction.It should be noted that if current image frame is not first frame image in video image, it can be said that bright
During image is adjusted in video, the picture frame after adjusting meets brightness requirement, then can be according to a upper figure
As the adjust instruction of frame continues to be adjusted subsequent image frames, i.e., using a upper adjust instruction for a upper picture frame as third tune
Whole instruction is sent to video camera, is handled the next image frame of acquisition according to the 4th adjust instruction with controlling video camera, so
After execute S308.
In addition, image adjusting method mainly solves the problems, such as to be common camera in different light conditions in the present embodiment
Under, dark or overexposure was will appear in the image of acquisition, it cannot be high-visible so as to cause human face in image.This method is applied to
During video conference, specific steps are as follows：
Infrared induction signal is obtained in real time by the infrared inductor set by camera module, to be based on the infrared induction
Signal judges whether that face is (such as infrared to both hands infrared light and facial elliptical reflecting by feature judgement identification face
Light), the processing unit in Image Adjusting equipment receive the infrared induction signal of infrared inductor and to the infrared induction signal into
Row judges, it is determined whether there are users, and the exposure area being then directed in image carries out gamma adjustment and brightness with dark areas is crossed
Adjustment, is particularly adjusted to 16-235 by rgb value by 0-255.The face in image is known during adjustment
Not, local directed complete set is carried out to be directed to face region, makes face high-visible, and the image after adjustment is exported to screen.
This method adjusts the brightness of image in real time, effectively improves the quality of each picture frame during video.
A kind of image adjusting method that the embodiment of the present invention three provides embodies and determines region to be adjusted and control camera shooting
Machine carries out the operation of Image Adjusting；On this basis, also optimize the reception operation for increasing target image frame.Using this method,
, by the rgb value of each pixel in analysis screen current image frame, it can determine that image is excessively dark during carrying out video
The corresponding region of human face image information in area, and generate corresponding second adjustment instruction and carry out brightness raising tune to control video camera
Location information that is whole or being in video image based on current image frame determines the 4th adjust instruction to control video camera to acquisition
Next image frame handled.Target image frame can also be received and be displayed on the screen target image frame, effectively carried
The quality of the acquired image of video camera, improves the user experience of Image Adjusting equipment during high video.
Example IV
Fig. 4 is a kind of structural schematic diagram for image adjusting device that the embodiment of the present invention four provides, which regards
The case where carrying out Image Adjusting to the picture frame of camera acquisition during frequency, the wherein device can be real by software and/or hardware
It is existing, and be typically integrated in Image Adjusting equipment.In the present embodiment Image Adjusting equipment can be video television, computer and
The equipment such as mobile phone.
As shown in figure 4, the image adjusting device includes：Strength set receiving module 41, rgb value acquisition module 42, instruction life
At module 43 and adjustment control module 44.
Wherein, strength set receiving module 41 acquires the infrared strong of formation for receiving infrared inductor in current environment
Spend information collection；
Rgb value acquisition module 42, for concentrating the infrared intensity existed more than intensity threshold when the infrared intensity information
When value, the rgb value of each pixel in current image frame shown by screen is obtained；
Directive generation module 43, the region to be adjusted for determining the condition that meets according to each rgb value, and described in generation
The corresponding adjust instruction in region to be adjusted；
Control module 44 is adjusted, for carrying out figure to the next image frame of acquisition based on adjust instruction control video camera
As adjustment.
In the present embodiment, which receives infrared inductor by strength set receiving module 41 first and is working as
The infrared intensity information collection of formation is acquired in preceding environment；Work as the infrared intensity information collection secondly by rgb value acquisition module 42
When the middle infrared intensity value existed more than intensity threshold, the rgb value of each pixel in current image frame shown by screen is obtained；So
The region to be adjusted for the condition that meets is determined according to each rgb value by directive generation module 43 afterwards, and is generated described to be adjusted
The corresponding adjust instruction in region；Video camera is controlled under acquisition based on the adjust instruction finally by adjustment control module 44
One picture frame carries out Image Adjusting.
A kind of image adjusting device that the embodiment of the present invention four provides, can pass through analysis during carrying out video
The rgb value of each pixel in screen current image frame generates adjust instruction to control video camera and carries out image to next image frame
Adjustment, is effectively improved the quality of the acquired image of video camera, improves the user experience of Image Adjusting equipment.
Further, directive generation module 43 are particularly used in：Meet default adjustment item when existing in each rgb value
When the rgb value to be adjusted of part, region to be adjusted is formed based on the corresponding pixel of each rgb value to be adjusted, and described in generating
The corresponding adjust instruction in region to be adjusted.
On the basis of above-mentioned optimization, directive generation module 43 is further specifically used for：It is deposited when in each rgb value
When more than the first rgb value of set interval maximum value, the region that pixel corresponding to each first rgb value is formed determines
For image exposure area, and when it includes human face image information that identification, which determines in described image exposure region, the facial image is believed
It ceases corresponding region and is determined as the first region to be adjusted, and generate the corresponding the first adjustment instruction in the described first region to be adjusted.
On the basis of above-mentioned optimization, control module 44 is adjusted, is further specifically used for：It is obtained from preset relation table
It is sent to video camera corresponding to the first adjustment instruction of the described first Area generation to be adjusted, and by the first adjustment instruction,
The first adjustment instruction includes constituting the pixel dot position information and the first adjustment amplitude in the first region to be adjusted；
The video camera is controlled to be determined corresponding to described in acquired next image frame according to the first adjustment instruction
First image-region in the first region to be adjusted, and control the video camera and brightness reduction tune is carried out to described first image region
It is whole.
Further, directive generation module 43 are particularly used in：It is less than set interval most when existing in each rgb value
When the second rgb value of small value, the region that pixel corresponding to each second rgb value is formed is determined as image and crosses dark space, and
When identification determines that described image is crossed in dark space comprising human face image information, the corresponding region of the human face image information is determined
For the second region to be adjusted.
On the basis of above-mentioned optimization, control module 44 is adjusted, is further specifically used for：It is obtained from preset relation table
It is sent to video camera corresponding to the second adjustment instruction of the described second Area generation to be adjusted, and by second adjustment instruction,
The second adjustment instruction includes constituting the pixel dot position information and second adjustment amplitude in the second region to be adjusted；
The video camera is controlled to be determined corresponding to described in acquired next image frame according to second adjustment instruction
Second image-region in the second region to be adjusted, and control the video camera and brightness raising tune is carried out to second image-region
It is whole.
On the basis of above-mentioned optimization, which, which also optimizes, includes：Target frame receiving module 45, for connecing
It receives the video camera and the target image frame that is formed after Image Adjusting is carried out to acquired next image frame, and by the target image
Frame is shown as new current image frame returns to the reception operation for executing infrared information collection on the screen.
Above-mentioned image adjusting device can perform the image adjusting method that any embodiment of the present invention is provided, and have the side of execution
The corresponding function module of method and advantageous effect.
Embodiment five
Fig. 5 is a kind of hardware architecture diagram for Image Adjusting equipment that the embodiment of the present invention five provides.As shown in figure 5,
The embodiment of the present invention five provide Image Adjusting equipment include：Infrared inductor 53, screen 54, video camera 55 and infrared induction
The processor 51 and storage device 52 that device 53, screen 54 are connected with video camera 55.Processor 51 in the Image Adjusting equipment can
To be one or more, in Fig. 5 by taking a processor 51 as an example, infrared inductor 53,54 and of screen in Image Adjusting equipment
Video camera 55 can be connect with processor 51 and storage device 52 respectively by bus or other modes, and processor 51 and storage
Device 52 is connected also by bus or other modes, in Fig. 5 for being connected by bus.
In the present embodiment, the processor 51 in Image Adjusting equipment can obtain the infrared strong of the acquisition of infrared inductor 53
The current image frame shown by information collection and screen 54 is spent, video camera 55 can also be controlled, image tune is carried out to the picture frame of acquisition
It is whole.
Storage device 52 in the Image Adjusting equipment can be used for storage one as a kind of computer readable storage medium
A or multiple programs, described program can be software program, computer executable program and module, in the embodiment of the present invention
Corresponding program instruction/the module of image adjusting method (for example, the module in attached image adjusting device shown in Fig. 4, including：By force
Degree collection receiving module 41, rgb value acquisition module 42, directive generation module 43, adjustment control module 44 and target frame receiving module
45).Processor 51 is stored in software program, instruction and module in storage device 52 by operation, to execute image tune
Image adjusting method in above method embodiment is realized in the various function application of finishing equipment and data processing.
Storage device 52 may include storing program area and storage data field, wherein storing program area can storage program area,
Application program needed at least one function；Storage data field can be stored uses created data etc. according to equipment.In addition,
Storage device 52 may include high-speed random access memory, can also include nonvolatile memory, for example, at least a magnetic
Disk storage device, flush memory device or other non-volatile solid state memory parts.In some instances, storage device 52 can be into one
Step includes the memory remotely located relative to processor 51, these remote memories can pass through network connection to equipment.On
The example for stating network includes but not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.
Also, when one or more included program of above-mentioned Image Adjusting equipment is by one or more of processors
When 51 execution, program proceeds as follows：
Receive the infrared intensity information collection that infrared inductor acquires formation in current environment；If the infrared intensity letter
Breath concentrates the infrared intensity value existed more than intensity threshold, then obtains the RGB of each pixel in current image frame shown by screen
Value；The region to be adjusted for the condition that meets is determined according to each rgb value, and is generated the corresponding adjustment in the region to be adjusted and referred to
It enables；Video camera is controlled based on the adjust instruction, and Image Adjusting is carried out to the next image frame of acquisition.
In addition, the embodiment of the present invention also provides a kind of computer readable storage medium, it is stored thereon with computer program, it should
The image adjusting method that the embodiment of the present invention one, embodiment two or embodiment three provide is realized when program is executed by processor, it should
Method includes：Receive the infrared intensity information collection that infrared inductor acquires formation in current environment；If the infrared intensity
Information concentrates the infrared intensity value existed more than intensity threshold, then obtains each pixel in current image frame shown by screen
Rgb value；The region to be adjusted for the condition that meets is determined according to each rgb value, and generates the corresponding adjustment in the region to be adjusted
Instruction；Video camera is controlled based on the adjust instruction, and Image Adjusting is carried out to the next image frame of acquisition.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but the former is more in many cases
Good embodiment.Based on this understanding, technical scheme of the present invention substantially in other words contributes to the prior art
Part can be expressed in the form of software products, which can be stored in computer readable storage medium
In, such as the floppy disk of computer, read-only memory (Read-Only Memory, ROM), random access memory (Random
Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes the method described in each embodiment of the present invention.
Note that above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiments described here, can carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
May include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of image adjusting method, which is characterized in that including：
Receive the infrared intensity information collection that infrared inductor acquires formation in current environment；
If the infrared intensity information concentrates the infrared intensity value existed more than intensity threshold, obtain current shown by screen
The rgb value of each pixel in picture frame；
The region to be adjusted for the condition that meets is determined according to each rgb value, and is generated the corresponding adjustment in the region to be adjusted and referred to
It enables；
Video camera is controlled based on the adjust instruction, and Image Adjusting is carried out to the next image frame of acquisition.
2. according to the method described in claim 1, it is characterized in that, described meet waiting for for condition according to each rgb value determination
Adjustment region, including：
If there is the rgb value to be adjusted for meeting default regularization condition in each rgb value, it is based on each RGB to be adjusted
It is worth corresponding pixel and forms region to be adjusted.
3. if according to the method described in claim 2, meet default tune it is characterized in that, existing in each rgb value
The rgb value to be adjusted of shelf-regulating Conditions is then based on the corresponding pixel of each rgb value to be adjusted and forms region to be adjusted, including：
If there is the first rgb value more than set interval maximum value in each rgb value, by each first rgb value institute
The region that corresponding pixel points are formed is determined as image exposure area, and includes facial image when identification determines in described image exposure region
When information, the corresponding region of the human face image information is determined as the first region to be adjusted.
4. according to the method described in claim 3, it is characterized in that, described control video camera to acquisition based on the adjust instruction
Next image frame carry out Image Adjusting, including：
The first adjustment obtained from preset relation table corresponding to the described first Area generation to be adjusted instructs, and by described first
Adjust instruction is sent to video camera, the first adjustment instruction include the first region to be adjusted of composition pixel dot position information and
Corresponding the first adjustment amplitude；
It controls the video camera and is determined in acquired next image frame according to the first adjustment instruction and correspond to described first
First image-region in region to be adjusted, and control the video camera and brightness reduction adjustment is carried out to described first image region.
5. if according to the method described in claim 2, meet default tune it is characterized in that, existing in each rgb value
The rgb value to be adjusted of shelf-regulating Conditions is then based on the corresponding pixel of each rgb value to be adjusted and forms region to be adjusted, including：
If there is the second rgb value less than set interval minimum value in each rgb value, by each second rgb value institute
The region that corresponding pixel points are formed is determined as image and crosses dark space, and includes facial image when identification determines that described image is crossed in dark space
When information, the corresponding region of the human face image information is determined as the second region to be adjusted.
6. according to the method described in claim 5, it is characterized in that, described control video camera to acquisition based on the adjust instruction
Next image frame carry out Image Adjusting, including：
The second adjustment obtained from preset relation table corresponding to the described second Area generation to be adjusted instructs, and by described second
Adjust instruction is sent to video camera, the second adjustment instruction include the second region to be adjusted of composition pixel dot position information and
Corresponding second adjustment amplitude；
It controls the video camera and is determined in acquired next image frame according to second adjustment instruction and correspond to described second
Second image-region in region to be adjusted, and control the video camera and brightness raising adjustment is carried out to second image-region.
7. according to claim 1-6 any one of them methods, which is characterized in that further include：
It receives the video camera and the target image frame that is formed after Image Adjusting is carried out to acquired next image frame, and by the mesh
Logo image frame is shown as new current image frame returns to the reception operation for executing infrared information collection on the screen.
8. a kind of image adjusting device, which is characterized in that including：
Strength set receiving module acquires the infrared intensity information collection of formation for receiving infrared inductor in current environment；
Rgb value acquisition module, for when the infrared intensity information is concentrated and there is the infrared intensity value more than intensity threshold, obtaining
Take the rgb value of each pixel in current image frame shown by screen；
Directive generation module for determining the region to be adjusted for the condition that meets according to each rgb value, and generates described to be adjusted
The corresponding adjust instruction in region；
Control module is adjusted, image tune is carried out to the next image frame of acquisition for controlling video camera based on the adjust instruction
It is whole.
9. a kind of Image Adjusting equipment, including：Infrared inductor, screen and video camera, which is characterized in that further include：
The one or more processors being connected with the infrared inductor, the screen and the video camera；
Storage device, for storing one or more programs；
One or more of programs are executed by one or more of processors so that one or more of processors are realized
Image adjusting method as described in any one of claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
Such as claim 1-7 any one of them image adjusting methods are realized when execution.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111083385A (en) * | 2019-12-10 | 2020-04-28 | 珠海亿智电子科技有限公司 | Binocular or multi-view camera exposure method, system and storage medium |
| CN111596766A (en) * | 2020-05-22 | 2020-08-28 | 福建天晴数码有限公司 | Gesture recognition method of head-mounted device and storage medium |
| CN114040106A (en) * | 2021-11-17 | 2022-02-11 | 维沃移动通信有限公司 | Video call control method and device, electronic equipment and readable storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1579848A (en) * | 2003-08-15 | 2005-02-16 | 程滋颐 | Automobile antitheft alarm with image pickup and wireless communication function |
| US20060017807A1 (en) * | 2004-07-26 | 2006-01-26 | Silicon Optix, Inc. | Panoramic vision system and method |
| CN101465964A (en) * | 2007-12-17 | 2009-06-24 | 鸿富锦精密工业（深圳）有限公司 | Photographic device and photographic method |
| CN102855842A (en) * | 2012-09-04 | 2013-01-02 | 京东方科技集团股份有限公司 | Method and device for displaying and controlling images |
| CN103217857A (en) * | 2013-03-27 | 2013-07-24 | 深圳市优威视讯科技有限公司 | Hunting camera as well as automatic lighting regulating system and regulating method of the hunting camera |
| CN104038704A (en) * | 2014-06-12 | 2014-09-10 | 小米科技有限责任公司 | Backlight portrait scene photographing processing method and device |
| CN104978710A (en) * | 2015-07-02 | 2015-10-14 | 广东欧珀移动通信有限公司 | Method and device for identifying and adjusting human face luminance based on photographing |
| US20160070098A1 (en) * | 2012-01-31 | 2016-03-10 | Canon Kabushiki Kaisha | Imaging apparatus, and control method for the same |
| CN106484257A (en) * | 2016-09-22 | 2017-03-08 | 广东欧珀移动通信有限公司 | Camera control method, device and electronic equipment |
| CN107172364A (en) * | 2017-04-28 | 2017-09-15 | 努比亚技术有限公司 | A kind of image exposure compensation method, device and computer-readable recording medium |
| CN206629140U (en) * | 2016-12-06 | 2017-11-10 | 戚伟慧 | Intelligent wireless network camera |
-
2018
- 2018-06-12 CN CN201810602315.1A patent/CN108769526B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1579848A (en) * | 2003-08-15 | 2005-02-16 | 程滋颐 | Automobile antitheft alarm with image pickup and wireless communication function |
| US20060017807A1 (en) * | 2004-07-26 | 2006-01-26 | Silicon Optix, Inc. | Panoramic vision system and method |
| CN101465964A (en) * | 2007-12-17 | 2009-06-24 | 鸿富锦精密工业（深圳）有限公司 | Photographic device and photographic method |
| US20160070098A1 (en) * | 2012-01-31 | 2016-03-10 | Canon Kabushiki Kaisha | Imaging apparatus, and control method for the same |
| CN102855842A (en) * | 2012-09-04 | 2013-01-02 | 京东方科技集团股份有限公司 | Method and device for displaying and controlling images |
| CN103217857A (en) * | 2013-03-27 | 2013-07-24 | 深圳市优威视讯科技有限公司 | Hunting camera as well as automatic lighting regulating system and regulating method of the hunting camera |
| CN104038704A (en) * | 2014-06-12 | 2014-09-10 | 小米科技有限责任公司 | Backlight portrait scene photographing processing method and device |
| CN104978710A (en) * | 2015-07-02 | 2015-10-14 | 广东欧珀移动通信有限公司 | Method and device for identifying and adjusting human face luminance based on photographing |
| CN106484257A (en) * | 2016-09-22 | 2017-03-08 | 广东欧珀移动通信有限公司 | Camera control method, device and electronic equipment |
| CN206629140U (en) * | 2016-12-06 | 2017-11-10 | 戚伟慧 | Intelligent wireless network camera |
| CN107172364A (en) * | 2017-04-28 | 2017-09-15 | 努比亚技术有限公司 | A kind of image exposure compensation method, device and computer-readable recording medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111083385A (en) * | 2019-12-10 | 2020-04-28 | 珠海亿智电子科技有限公司 | Binocular or multi-view camera exposure method, system and storage medium |
| CN111083385B (en) * | 2019-12-10 | 2021-04-02 | 珠海亿智电子科技有限公司 | Binocular or multi-view camera exposure method, system and storage medium |
| CN111596766A (en) * | 2020-05-22 | 2020-08-28 | 福建天晴数码有限公司 | Gesture recognition method of head-mounted device and storage medium |
| CN111596766B (en) * | 2020-05-22 | 2023-04-28 | 福建天晴数码有限公司 | Gesture recognition method of head-mounted device and storage medium |
| CN114040106A (en) * | 2021-11-17 | 2022-02-11 | 维沃移动通信有限公司 | Video call control method and device, electronic equipment and readable storage medium |
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| Publication number | Publication date |
|---|---|
| CN108769526B (en) | 2021-02-19 |
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