CN109447925A - Image processing method and device, storage medium, electronic equipment - Google Patents
Image processing method and device, storage medium, electronic equipment Download PDFInfo
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- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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Abstract
This application involves a kind of image processing methods and device, electronic equipment, computer readable storage medium, obtain the original binary image of image to be processed, image to be processed, original binary image are moved to preset number pixel on the radiation direction on image to be processed respectively, the binary image after image to be processed, movement after being moved.It is synthesized according to image to be processed and original binary image, obtains the image of portrait main body.It is synthesized according to the image to be processed after movement and the binary image after movement, obtains the image in the shadow region of portrait main body.The image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtained with the image for trembling light light effects.The diversity of rich image processing.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of image processing method and device, storage medium, electricity
Sub- equipment.
Background technique
With universal and mobile Internet the rapid development of mobile terminal, user's usage amount of mobile terminal is increasingly
Greatly.The function of taking pictures, make video in mobile terminal has become one of user's common function.It taking pictures, making video
In the process, user is frequently found under the scene of available light, it is captured or production video light effects it is impossible to meet
The individual demand of user.
Summary of the invention
The embodiment of the present application provides a kind of image processing method and device, storage medium, electronic equipment, can add to image
Jittered smooth light effects, the diversity of rich image processing.
A kind of image processing method, comprising:
Obtain the original binary image of image to be processed；
By the image to be processed, the original binary image respectively on the radiation direction on the image to be processed
Mobile preset number pixel, the binary image after image to be processed, movement after being moved；
It is synthesized according to the image to be processed and the original binary image, obtains the image of portrait main body；
It is synthesized according to the image to be processed after the movement and the binary image after the movement, obtains the people
As the image in the shadow region of main body；
The image of the portrait main body and the image in the shadow region of the portrait main body are synthesized, obtains having and tremble
The image of light light effects.
A kind of image processing apparatus, described device include:
Original binary image obtains module, for obtaining the original binary image of image to be processed；
Mobile module, for by the image to be processed, the original binary image respectively in the image to be processed
On radiation direction on mobile preset number pixel, image to be processed after being moved, move after binary image；
The image collection module of portrait main body, for being carried out according to the image to be processed and the original binary image
Synthesis, obtains the image of portrait main body；
The image collection module in the shadow region of portrait main body, for according to image to be processed after the movement and described
Binary image after movement is synthesized, and the image in the shadow region of the portrait main body is obtained；
Synthesis module, for closing the image of the portrait main body and the image in the shadow region of the portrait main body
At obtaining with trembling the images of light light effects.
A kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
The step of calculation machine program, processor executes image processing method as described above when executing computer program.
Above-mentioned image processing method and device, storage medium, electronic equipment obtain the original binary picture of image to be processed
Image to be processed, original binary image are moved preset number picture by picture on the radiation direction on image to be processed respectively
Element, the binary image after image to be processed, movement after being moved.According to image to be processed and original binary image into
Row synthesis, obtains the image of portrait main body.It is synthesized according to the image to be processed after movement and the binary image after movement,
Obtain the image in the shadow region of portrait main body.The image of portrait main body and the image in the shadow region of portrait main body are closed
At obtaining with trembling the images of light light effects.
By carrying out binary conversion treatment to image to be processed, and then the image of portrait main body is obtained, after to movement
Image to be processed carries out binary conversion treatment and then obtains the image in the shadow region of portrait main body.Then again by the figure of portrait main body
Picture and the image in the shadow region of portrait main body are synthesized, and just obtain having the image for trembling light light effects, at rich image
The diversity of reason.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the internal structure chart of electronic equipment in one embodiment；
Fig. 2 is the flow chart of image processing method in one embodiment；
Fig. 3 is the flow chart of image processing method in another embodiment；
Fig. 4 is the stream for obtaining the radiation direction method on image to be processed in Fig. 3 according to the human face region of image to be processed
Cheng Tu；
Fig. 5 A is to be synthesized in Fig. 2 according to the image to be processed after movement and the binary image after movement, obtains people
As the flow chart of the image method in the shadow region of main body；
Fig. 5 B is to be synthesized in Fig. 2 according to the image to be processed after movement and the binary image after movement, obtains people
As the schematic diagram of the image in the shadow region of main body；
Fig. 6 is the flow chart of image processing method in further embodiment；
Fig. 7 is the structural schematic diagram of image processing apparatus in one embodiment；
Fig. 8 is the structural schematic diagram of image processing apparatus in another embodiment；
Fig. 9 is the structural schematic diagram of image processing apparatus in further embodiment；
Figure 10 is the schematic diagram of image processing circuit in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, and
It is not used in restriction the application.
Fig. 1 is the schematic diagram of internal structure of electronic equipment in one embodiment.As shown in Figure 1, the electronic equipment includes logical
Cross processor, memory and the network interface of system bus connection.Wherein, which is used to provide calculating and control ability,
Support the operation of entire electronic equipment.Memory for storing data, program etc., at least one computer journey is stored on memory
Sequence, the computer program can be executed by processor, to realize the scene suitable for electronic equipment provided in the embodiment of the present application
Recognition methods.Memory may include that magnetic disk, CD, read-only memory (Read-Only Memory, ROM) etc. are non-volatile
Storage medium or random access memory (Random-Access-Memory, RAM) etc..For example, in one embodiment, depositing
Reservoir includes non-volatile memory medium and built-in storage.Non-volatile memory medium is stored with operating system and computer journey
Sequence.The computer program can be performed by processor, for realizing a kind of image procossing provided by following each embodiment
Method.Built-in storage provides the running environment of cache for the operating system computer program in non-volatile memory medium.
Network interface can be Ethernet card or wireless network card etc., for being communicated with external electronic equipment.The electronic equipment can
To be mobile phone, tablet computer or personal digital assistant or wearable device etc..
In one embodiment, as shown in Fig. 2, providing a kind of image processing method, it is applied in Fig. 1 in this way
It is illustrated for electronic equipment, comprising:
Step 210, the original binary image of image to be processed is obtained.
Binary conversion treatment is carried out to image and has just obtained binary image.Wherein, image binaryzation handles (Image
It Binarization) is exactly to set 0 or 255 for the gray value of the pixel on image, that is, whole image is showed
The process of apparent black and white effect.The pixel that all gray scales are greater than or equal to threshold value is judged as belonging to certain objects, gray scale
Value indicates that otherwise these pixels are excluded other than object area, gray value 0 for 255, indicates the object of background or exception
Body region.In this way, then to both comprising portrait or including the image of background, progress binary conversion treatment, so that it may prominent portrait area.
Image to be processed had both included generally portrait or the image including background, and certainly, image to be processed can also only include portrait.It is right
Image to be processed carries out binary conversion treatment, has just obtained the original binary image of image to be processed.Image to be processed can be
It takes pictures preview screen, is also possible to the photo being saved in electronic equipment after taking pictures.
Step 220, image to be processed, original binary image are moved on the radiation direction on image to be processed respectively
Preset number pixel, the binary image after image to be processed, movement after being moved.
Include original light information on image to be processed, light information can be obtained from whole image, it can also root
The radiation direction on image to be processed is obtained according to the human face region of regional area image for example to be processed.Obtaining figure to be processed
After the radiation direction of picture, image to be processed is integrally moved into preset number pixel on the radiation direction, can thus incited somebody to action
To be processed image of a part of image to be processed out of image-region, after being moved.Similarly, by the original of image to be processed
Beginning binary image also moves same number pixel on the radiation direction, so also can be by one of original binary image
Divide the binary image out of image-region, after being moved.
Step 230, it is synthesized according to image to be processed and original binary image, obtains the image of portrait main body.
Original binary image is to the image obtained after image to be processed progress binary conversion treatment, and image binaryzation
Processing is exactly to set 0 or 255 for the gray value of the pixel on image, that is, whole image is showed apparent black and white
The process of effect.The pixel that all gray scales are greater than or equal to threshold value is judged as belonging to certain objects, and gray value is 255 tables
Show, otherwise these pixels are excluded other than object area, gray value 0, indicate the object area of background or exception.Such as
This, then to both comprising portrait or including the image of background, progress binary conversion treatment, so that it may prominent portrait area.I.e. in two-value
Changing portrait area in image is 1, background area 0.According to image to be processed multiplied by original binary image, obtain leaving behind people
As the image of main body, the background area other than portrait area is white space.
Step 240, it is synthesized according to the image to be processed after movement and the binary image after movement, obtains portrait master
The image in the shadow region of body.
Binary image after movement is the image for obtain after binary conversion treatment to the image to be processed after movement.
Similarly, the binary image after movement can also protrude the portrait area in the image to be processed after movement.I.e. in binary picture
Portrait area is 1 as in, background area 0.Original binary image and the binary image after movement are overlapped, obtained
The binary image of lap.Using the binary image of the binary picture image subtraction lap after movement, portrait is obtained
The binary image in the shadow region of main body.Further according to the image to be processed after movement multiplied by portrait main body shadow region two
Value image, obtains the image in the shadow region of portrait main body, other regions are white space.
Step 250, the image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtains having and trembles
The image of light light effects.
Then the image of the image for leaving behind portrait main body and the shadow for leaving behind portrait main body is synthesized, generates and closes
Image after.Just there is the shadow of portrait main body and portrait main body on image after synthesis.This image for forming ghost image, just
Referred to as there is the image for trembling light light effects.The pixel value of the background area of resulting image is 0 at this time, accordingly, it is possible to
Preset pixel value is filled to the background area of the image, final output had both had prospect (portrait main body and portrait main body
Shadow) again with background image.Background area is filled, the background that can choose pure color is filled, such as black
Color or white etc..It can certainly be added on the image to final output according to the radiation direction on image to be processed
Light efficiency effect, so that background will not be too dull.
In the embodiment of the present application, the original binary image of image to be processed is obtained, by image to be processed, original binaryzation
The image mobile preset number pixel on the radiation direction on image to be processed respectively, image to be processed after being moved,
Binary image after movement.It is synthesized according to image to be processed and original binary image, obtains the image of portrait main body.
It is synthesized according to the image to be processed after movement and the binary image after movement, obtains the figure in the shadow region of portrait main body
Picture.The image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtains having and trembles light light effects
Image.
By carrying out binary conversion treatment to image to be processed, and then the image of portrait main body is obtained, after to movement
Image to be processed carries out binary conversion treatment and then obtains the image in the shadow region of portrait main body.Then again by the figure of portrait main body
Picture and the image in the shadow region of portrait main body are synthesized, and just obtain having the image for trembling light light effects, at rich image
The diversity of reason.
In one embodiment, step 210, the original binary image of image to be processed is obtained, comprising:
Obtain the depth data of image to be processed；
Portrait segmentation is carried out to image to be processed according to the depth data of image to be processed, obtains the original after portrait segmentation
Beginning binary image.
Specifically, the depth data for obtaining image to be processed, when image to be processed, which can be, takes pictures preview screen, and such as
It is configured with dual camera on fruit electronic equipment, then can directly realize the depth number for acquiring image to be processed by dual camera
According to.
When image to be processed, which can be, takes pictures preview screen, image to be processed can also be acquired by TOF camera
Depth data, it is, of course, also possible to obtain the depth data of image to be processed by other methods.TOF is Time of
Flight's writes a Chinese character in simplified form, and literal translates as the meaning of flight time.TOF camera is then used by continuously transmitting light pulse to target
Sensor receives the light returned from object, obtains object distance by flight (round-trip) time of detecting optical pulses, thus
The depth data of image to be processed is acquired by TOF camera.
When being saved in the photo in electronic equipment after image to be processed is to take pictures, it is assumed that originally deep on this photo
Degree image contains depth information, then depth data also just can be equally got from photo.
After the depth data for obtaining image to be processed, according to the depth data of image to be processed to image to be processed
Portrait segmentation is carried out, the original binary image after portrait segmentation is obtained.Portrait segmentation refer to by picture portrait and
Background is separated, and different regions is divided into, and is distinguished with different labels.For example, carrying out portrait to image to be processed
Segmentation obtains indicating foreground part (referring exclusively to portrait area at this time) with 1 in the original binary image after portrait is divided,
Background parts are indicated with 0.In the embodiment of the present application, the depth data of image to be processed is obtained by different methods, so
Portrait segmentation is carried out further according to the depth data of image to be processed afterwards, is portrait area and background area by image segmentation to be processed
The original binary image in domain.It is carried out obtaining binary image after portrait segmentation according to depth data, in the binary image
The accuracy that portrait and background are separated is high.It is subsequent to carry out portrait segmentation after binary image handle, just into
The accuracy of one step guarantee subsequent processing.
In one embodiment, as shown in figure 3, additionally providing a kind of image processing method, it is applied in Fig. 1 in this way
Electronic equipment for be illustrated, further includes:
Step 260, the radiation direction on image to be processed is obtained according to the human face region of image to be processed.
In the embodiment of the present application, the direction of current light is certainly existed in every image to be processed, therefore, from figure to be processed
Also the direction of the current light on image to be processed is embodied in portrait area as in after progress portrait segmentation.Figure to be processed
Portrait area as in after progress portrait segmentation is the portrait part extracted from image to be processed, not from binary picture
The portrait area extracted as in.Portrait area may include head zone (including human face region) and body region, from head
Region or body region can extract the direction of current light, and specifically, selection is obtained from the human face region of portrait area
Take the direction of current light.Because human face region is generally the focus of image attention, and human face region contains more light
Information, so only from the direction that can intuitively and accurately get current light on whole image to be processed in human face region,
Improve the efficiency and accuracy for obtaining the direction of current light on whole image to be processed.
Therefore a kind of image processing method is additionally provided, firstly, obtaining the original binary image of image to be processed, secondly
The radiation direction on image to be processed is obtained according to the human face region of image to be processed.Then again by image to be processed, original two
Value image moves preset number pixel, the figure to be processed after being moved on the radiation direction on image to be processed respectively
Binary image after picture, movement.It is synthesized according to image to be processed and original binary image, obtains the figure of portrait main body
Picture.It is synthesized according to the image to be processed after movement and the binary image after movement, obtains the shadow region of portrait main body
Image.Finally, the image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtains having and tremble light light
The image of line effect.
In one embodiment, as shown in figure 4, step 260, obtains figure to be processed according to the human face region of image to be processed
As upper radiation direction, comprising:
Step 262, the corresponding RGB RGB image of the human face region of image to be processed is transformed into tone by rgb space
Saturation degree lightness HSV space obtains the corresponding HSV image of human face region of image to be processed.
The rgb color model and HSV colour model of image are referred here to, the following are the explanations to the two models.
Rgb color model is by the variation to red (Red, R), green (Green, G) blue (Blue, B) three Color Channels
And their mutual superpositions obtain various colors.Rgb color mode almost includes human vision institute energy
The all colours perceived, and most wide one of color system, the figure that people usually see or shot with terminal are used at present
Picture usually RGB image.Rgb color mode is assigned with one using the RGB component that RGB model is each of image pixel
Intensity value in 0~255 range.Such as: it be 0, B value is 255 that pure blue R value, which is 0, G value,；Tri- values of RGB of grey are equal (to be removed
0 and 255), white R, G, B value is all 255；R, G, B of black are 0.RGB image, which only uses three kinds of colors, can just make
They mix according to different ratios, occur 16777216 kinds of colors on the screen.
HSV colour model is the intuitive nature according to color and a kind of color space created, color in this model
Parameter is respectively tone (Hue, H), saturation degree (Saturation, S), lightness (Value, V).Wherein, H is measured with angle, is taken
Being worth range is 0 °~360 °, is calculated counterclockwise since red, and red is 0 °, and green is 120 °, and blue is 240 °.It
Complementary color be: yellow be 60 °, cyan be 180 °, magenta be 300 °；S indicates color close to the degree of spectrum colour.A kind of face
Color can regard the result that certain spectrum colour is mixed with white as.Wherein ratio shared by spectrum colour is bigger, and color is close to spectrum
The degree of color is just higher, and the saturation degree of color is also just higher.Saturation degree is high, and color is then deep and gorgeous.The white light ingredient of spectrum colour is
0, saturation degree reaches highest.Usual value range is 0%~100%, and value is bigger, and color is more saturated.Lightness V indicates bright
Degree, for light source colour, brightness value is related with the brightness of illuminator；For object color, the transmittance of this value and object or
Reflectivity is related.Usual value range is 0% (black) to 100% (white).
For a width RGB image, HSV image can be converted to, RGB image can also be converted to for HSV image.In reality
During border is realized, the corresponding RGB RGB image of the human face region of image to be processed can be converted to according to the following steps
HSV image:
The value range of the value of R, G, B is modified to 0-1 from 0-255 by step 1.
Here it is possible to be realized by following formula: (1-1) (1-2) (1-3)
R'=R/255 (1-1)；
Wherein, in formula (1-1), R indicates the R value of each pixel in RGB image to be processed, and R ' indicates 0-1 range
Interior R value.
G'=G/255 (1-2)；
Wherein, in formula (1-2), G indicates the G value of each pixel in RGB image to be processed, and G ' indicates 0-1 range
Interior G value.
B'=B/255 (1-3)；
Wherein, in formula (1-3), B indicates the B value of each pixel in RGB image to be processed, and B ' indicates 0-1 range
Interior B value.
Step 2 determines the R ', G ', B that are transformed within the scope of 0-1 ' in maximum value and minimum value and maximum value and most
The difference of small value.
Here, R ', G ', B are determined according to formula (1-4) ' in maximum value:
Cmax=max (R', G', B') (1-4)；
Wherein, in formula (1-4), Cmax R ', G ', B ' in maximum value, max () is maximizing function.
Determine R ', G ', B according to formula (1-5) ' in minimum value:
Cmin=min (R', G', B') (1-5)；
Wherein, in formula (1-5), Cmin R ', G ', B ' in minimum value, min () is function of minimizing.
The difference of maximum value and minimum value is determined according to formula (1-6):
△=Cmax-Cmin (1-6)；
Wherein, in formula (1-6), △ is the difference of maximum value and minimum value.
Step 3 calculates H value according to formula (1-7).
Wherein, in formula (1-7), H is the value of the tone H in HSV, and mod is mod function.
Step 4 calculates S value according to formula (1-8).
Wherein, in formula (1-8), S is the value of saturation degree S in HSV.
Step 5 calculates V value according to formula (1-9).
V=Cmax (1-9)；
Wherein, in formula (1-9), V is the value of lightness V in HSV.
In the corresponding RGB RGB image of human face region to image to be processed, calculated according to above-mentioned conversion method
After corresponding H, S, V value, the corresponding HSV image of human face region of image to be processed has just been obtained.
Step 264, lightness V component is obtained from the corresponding HSV image of the human face region of image to be processed.
After the corresponding HSV image of human face region for having obtained image to be processed, so that it may obtain on the HSV image
The corresponding numerical value of lightness V component.
Step 266, the direction of current light is determined according to lightness V component.
Specifically, wherein lightness indicates bright degree, and for light source colour, the brightness of brightness value and illuminator has
It closes；Usual value range is 0% (black) to 100% (white).That is the more big then polishing intensity of V value is bigger, the smaller then polishing intensity of V value
It is smaller.So according to the lightness V component on the corresponding HSV image of human face region of image to be processed, so that it may determine current
The direction of light.
In the embodiment of the present application, after obtaining the RGB image of human face region of image to be processed, by the RGB image
HSV image is converted to, so that V component directly can be got from HSV image, determines current light further according to lightness V component
The direction of line.The direction that current light is determined by the V component gone out embodied in HSV image, is compared to other methods more
It is accurate to add.
In one embodiment, it is synthesized according to image to be processed and original binary image, obtains portrait main body
Image, comprising:
According to image to be processed multiplied by original binary image, the image of portrait main body is obtained.
In the embodiment of the present application, portrait segmentation is being carried out to image to be processed, is obtaining the original two-value after portrait segmentation
Change in image, foreground part (referring exclusively to portrait area at this time) is indicated with 1, indicates background parts with 0.It therefore, will be to be processed
Image just obtains the image of (portrait area) portrait main body multiplied by original binary image.In the image of the portrait main body, in addition to
It is all white space except portrait main part.
In one embodiment, as shown in Figure 5A, step 240, according to the image to be processed after movement and two after movement
Value image is synthesized, and the image in the shadow region of portrait main body is obtained, comprising:
Step 242, original binary image and the binary image after movement are overlapped, obtain the two of lap
Value image；
Step 244, using the binary image of the binary picture image subtraction lap after movement, portrait main body is obtained
The binary image in shadow region；
Step 246, it is obtained according to the image to be processed after movement multiplied by the binary image in the shadow region of portrait main body
The image in the shadow region of portrait main body.
As shown in Figure 5 B, it to be synthesized according to the image to be processed after movement and the binary image after movement, obtains
The schematic diagram of the image in the shadow region of portrait main body.Specifically, after A indicates that original binary image, B indicate mobile in figure
Binary image.A ∩ B indicates that original binary image is overlapped with the binary image after movement, obtained lap
Binary image.Dotted portion is drawn in B- (A ∩ B) i.e. figure, is indicated using the binary picture image subtraction lap after movement
Binary image, obtain the binary image in the shadow region of portrait main body.Finally, being multiplied according to the image to be processed after movement
With the binary image B- (A ∩ B) in the shadow region of portrait main body, the image in the shadow region of portrait main body has just been obtained.
In the embodiment of the present application, the image in the shadow region of portrait main body, obtains original binary picture first in order to obtain
As being overlapped with the binary image after movement, the binary image of lap is obtained.Then, then using two after movement
Value image subtracts the binary image of lap, obtains the binary image in the shadow region of portrait main body.Finally, according to
Image to be processed after movement obtains the shadow region of portrait main body multiplied by the binary image in the shadow region of portrait main body
Image.Binary image is dexterously used, to also obtain the shadow of portrait main body, most after obtaining portrait main body
The shadow of portrait main body and portrait main body is merged again afterwards, has just been obtained with the image for trembling light light effects.
In one embodiment, as shown in fig. 6, additionally providing a kind of image processing method, it is applied in Fig. 1 in this way
Electronic equipment for be illustrated, comprising:
Step 610, the original binary image of image to be processed is obtained；
Step 620, image to be processed, original binary image are amplified on the radiation direction on image to be processed respectively
Presupposition multiple obtains amplified image to be processed, amplified binary image；
Step 630, it is synthesized according to image to be processed and original binary image, obtains the image of portrait main body；
Step 640, it is synthesized according to amplified image to be processed and amplified binary image, obtains portrait master
The image in the shadow region of body；
Step 650, the image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtains having and trembles
The image of light light effects.
It is all to the original binary image of image to be processed and image to be processed in previous embodiment in image to be processed
On radiation direction on by the way of mobile preset number pixel, thus image to be processed after being moved, move after
Binary image.It is synthesized further according to image to be processed and original binary image, obtains the image of portrait main body.According to
The binary image after image to be processed and movement after movement is synthesized, and the image in the shadow region of portrait main body is obtained.
Finally, the image of portrait main body and the image in the shadow region of portrait main body are synthesized, obtains having and tremble light light effects
Image.
In the embodiment of the present application, by image to be processed, original binary image the light side on image to be processed respectively
Amplification presupposition multiple upwards, obtains amplified image to be processed, amplified binary image.Similarly, according to figure to be processed
Picture and original binary image are synthesized, and the image of portrait main body is obtained.After amplified image to be processed and amplification
Binary image synthesized, obtain the image in the shadow region of portrait main body.Finally, by the image and portrait of portrait main body
The image in the shadow region of main body is synthesized, and is obtained with the image for trembling light light effects.Equally may be used by the way of amplification
To show the shadow of portrait main body and portrait main body.By this image for forming ghost image, referred to as has and tremble light light effects
Image.
In one embodiment, as shown in fig. 7, providing a kind of image processing apparatus 700 includes: original binary image
Obtain module 710, mobile module 720, the image collection module 730 of portrait main body, portrait main body the image in shadow region obtain
Modulus block 740 and synthesis module 750.Wherein,
Original binary image obtains module 710, for obtaining the original binary image of image to be processed；
Mobile module 720, for by image to be processed, original binary image the light side on image to be processed respectively
Preset number pixel is moved up, the binary image after image to be processed, movement after being moved；
The image collection module 730 of portrait main body, for being synthesized according to image to be processed and original binary image,
Obtain the image of portrait main body；
The image collection module 740 in the shadow region of portrait main body, for according to after movement image to be processed and movement
Binary image afterwards is synthesized, and the image in the shadow region of portrait main body is obtained；
Synthesis module 750 is obtained for synthesizing the image of portrait main body and the image in the shadow region of portrait main body
To with the image for trembling light light effects.
In one embodiment, original binary image obtains module 710, is also used to obtain the depth number of image to be processed
According to；Portrait segmentation is carried out to image to be processed according to the depth data of image to be processed, obtains original two after portrait segmentation
Value image.
In one embodiment, as shown in figure 8, providing a kind of image processing apparatus 700 further include: radiation direction obtains
Module 760, for obtaining the radiation direction on image to be processed according to the human face region of image to be processed.
In one embodiment, radiation direction obtains module 760, is also used to the human face region of image to be processed is corresponding
RGB RGB image is transformed into tone saturation degree lightness HSV space by rgb space, obtains the human face region pair of image to be processed
The HSV image answered；Lightness V component is obtained from the corresponding HSV image of human face region of image to be processed；According to lightness V component
Determine the direction of current light.
In one embodiment, the image collection module 730 of portrait main body, is also used to according to image to be processed multiplied by original
Binary image obtains the image of portrait main body.
In one embodiment, the image collection module 740 in the shadow region of portrait main body is also used to original binaryzation
Image is overlapped with the binary image after movement, obtains the binary image of lap；Using the binaryzation after movement
Image subtracts the binary image of lap, obtains the binary image in the shadow region of portrait main body；After movement
Image to be processed obtains the image in the shadow region of portrait main body multiplied by the binary image in the shadow region of portrait main body.
In one embodiment, as shown in figure 9, providing a kind of image processing apparatus 900 includes: original binary image
Obtain module 910, amplification module 920, the image collection module 930 of portrait main body, portrait main body the image in shadow region obtain
Modulus block 940 and synthesis module 950.Wherein,
Original binary image obtains module 910, for obtaining the original binary image of image to be processed；
Amplification module 920, for by image to be processed, original binary image the light side on image to be processed respectively
Amplification presupposition multiple upwards, obtains amplified image to be processed, amplified binary image；
The image collection module 930 of portrait main body, for being synthesized according to image to be processed and original binary image,
Obtain the image of portrait main body；
The image collection module 940 in the shadow region of portrait main body, for according to amplified image to be processed and amplification
Binary image afterwards is synthesized, and the image in the shadow region of portrait main body is obtained；
Synthesis module 950 is obtained for synthesizing the image of portrait main body and the image in the shadow region of portrait main body
To with the image for trembling light light effects.
The division of modules is only used for for example, in other embodiments, can will scheme in above-mentioned image processing apparatus
As processing unit is divided into different modules as required, to complete all or part of function of above-mentioned image processing apparatus.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
The step of image processing method provided by the various embodiments described above is realized when machine program is executed by processor.
In one embodiment, a kind of electronic equipment is provided, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, processor realize figure provided by the various embodiments described above when executing computer program
As the step of processing method.
The embodiment of the present application also provides a kind of computer program products, when run on a computer, so that calculating
Machine executes the step of image processing method provided by the various embodiments described above.
The embodiment of the present application also provides a kind of electronic equipment.The electronic equipment can be include mobile phone, tablet computer, PDA
(Personal Digital Assistant, personal digital assistant), POS (Point of Sales, point-of-sale terminal), vehicle mounted electric
Any terminal device such as brain, wearable device, by taking electronic equipment is mobile phone as an example: including image procossing electricity in above-mentioned electronic equipment
Road, image processing circuit can use hardware and or software component realization, it may include define ISP (Image Signal
Processing, image signal process) pipeline various processing units.Figure 10 is that image processing circuit shows in one embodiment
It is intended to.As shown in Figure 10, for purposes of illustration only, only showing the various aspects of image processing techniques relevant to the embodiment of the present application.
As shown in Figure 10, image processing circuit includes the first ISP processor 1030, the 2nd ISP processor 1040 and control
Logic device 1050.First camera 1010 includes one or more first lens 1012 and the first imaging sensor 1014.First
Imaging sensor 1014 may include colour filter array (such as Bayer filter), and the first imaging sensor 1014 can be obtained with first
The luminous intensity and wavelength information that each imaging pixel of imaging sensor 1014 captures, and providing can be by the first ISP processor
One group of image data of 1030 processing.Second camera 1020 includes one or more second lens 1022 and the second image sensing
Device 1024.Second imaging sensor 1024 may include colour filter array (such as Bayer filter), and the second imaging sensor 1024 can
Luminous intensity and wavelength information that each imaging pixel of the second imaging sensor 1024 captures are obtained, and providing can be by second
One group of image data of the processing of ISP processor 1040.
First image transmitting of the first camera 1010 acquisition is handled to the first ISP processor 1030, at the first ISP
It, can be by statistical data (brightness of such as image, the contrast value of image, the image of the first image after managing the first image of processing of device 1030
Color etc.) be sent to control logic device 1050, control logic device 1050 can determine the first camera 1010 according to statistical data
Control parameter, so that the first camera 1010 can carry out auto-focusing, the operation such as automatic exposure according to control parameter.First figure
As that can store after the first ISP processor 1030 is handled into video memory 1060, the first ISP processor 1030
The image that stores in video memory 1060 can be read with to handling.In addition, the first image passes through ISP processor 1030
It can be sent directly to display 1070 after being handled and shown that display 1070 can also be read in video memory 1060
Image to be shown.
Wherein, the first ISP processor 1030 handles image data pixel by pixel in various formats.For example, each image
Pixel can have the bit depth of 8,10,12 or 14 bits, and the first ISP processor 1030 can carry out image data one or more
The statistical information of image processing operations, collection about image data.Wherein, image processing operations can be by identical or different locating depth
Computational accuracy is spent to carry out.
Video memory 1060 can be independent special in a part, storage equipment or electronic equipment of memory device
It with memory, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
When receiving from the first 1014 interface of imaging sensor, the first ISP processor 1030 can carry out one or more
A image processing operations, such as time-domain filtering.Image data that treated can be transmitted to video memory 1060, so as to shown
Other processing is carried out before.First ISP processor 1030 receives processing data from video memory 1060, and to processing data
Carry out the image real time transfer in RGB and YCbCr color space.Treated that image data can be defeated for first ISP processor 1030
Out to display 1070, so that user watches and/or by graphics engine or GPU (Graphics Processing Unit, figure
Processor) it is further processed.In addition, the output of the first ISP processor 1030 also can be transmitted to video memory 1060, and show
Device 1070 can read image data from video memory 1060.In one embodiment, video memory 1060 can be configured to
Realize one or more frame buffers.
The statistical data that first ISP processor 1030 determines can be transmitted to control logic device 1050.For example, statistical data can
Including automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 1012 shadow correction of the first lens etc. the
One imaging sensor, 1014 statistical information.Control logic device 1050 may include executing the processing of one or more routines (such as firmware)
Device and/or microcontroller, one or more routines can statistical data based on the received, determine the control ginseng of the first camera 1010
Several and the first ISP processor 1030 control parameter.For example, the control parameter of the first camera 1010 may include gain, exposure
Time of integration of control, stabilization parameter, flash of light control parameter, 1012 control parameter of the first lens (such as focus or zoom coke
Away from) or the combination of these parameters etc..ISP control parameter may include for automatic white balance and color adjustment (for example, at RGB
During reason) 1012 shadow correction parameter of gain level and color correction matrix and the first lens.
Similarly, the second image transmitting that second camera 1020 acquires is handled to the 2nd ISP processor 1040, the
After two ISP processors 1040 handle the first image, can by the statistical data of the second image (brightness of such as image, image contrast
Value, color of image etc.) it is sent to control logic device 1050, control logic device 1050 can determine the second camera shooting according to statistical data
First 1020 control parameter, so that second camera 1020 can carry out the operation such as auto-focusing, automatic exposure according to control parameter.
Second image can store after the 2nd ISP processor 1040 is handled into video memory 1060, the 2nd ISP processor
1040 can also read the image that stores in video memory 1060 with to handling.In addition, the second image is handled by ISP
Device 1040 can be sent directly to display 1070 after being handled and be shown, display 1070 can also read video memory
Image in 1060 is to be shown.Second camera 1020 and the 2nd ISP processor 1040 also may be implemented such as the first camera shooting
First 1010 and the first treatment process described in ISP processor 1030.
The following are realize image processing method with image processing techniques in Figure 10.
Any reference to memory, storage, database or other media used in this application may include non-volatile
And/or volatile memory.Suitable nonvolatile memory may include read-only memory (ROM), programming ROM (PROM),
Electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include arbitrary access
Memory (RAM), it is used as external cache.By way of illustration and not limitation, RAM is available in many forms, such as
It is static RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDR SDRAM), enhanced
SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM).
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
The limitation to the application the scope of the patents therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the concept of this application, various modifications and improvements can be made, these belong to the guarantor of the application
Protect range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of image processing method characterized by comprising
Obtain the original binary image of image to be processed；
The image to be processed, the original binary image are moved on the radiation direction on the image to be processed respectively
Preset number pixel, the binary image after image to be processed, movement after being moved；
It is synthesized according to the image to be processed and the original binary image, obtains the image of portrait main body；
It is synthesized according to the image to be processed after the movement and the binary image after the movement, obtains the portrait master
The image in the shadow region of body；
The image of the portrait main body and the image in the shadow region of the portrait main body are synthesized, obtains having and trembles light light
The image of line effect.
2. the method according to claim 1, wherein the original binary image for obtaining image to be processed,
Include:
Obtain the depth data of the image to be processed；
Portrait segmentation is carried out to the image to be processed according to the depth data of the image to be processed, after obtaining portrait segmentation
Original binary image.
3. the method according to claim 1, wherein the method also includes:
The radiation direction on the image to be processed is obtained according to the human face region of the image to be processed.
4. according to the method described in claim 3, it is characterized in that, described obtain according to the human face region of the image to be processed
Radiation direction on the image to be processed, comprising:
It is bright that the corresponding RGB RGB image of the human face region of the image to be processed by rgb space is transformed into tone saturation degree
HSV space is spent, the corresponding HSV image of human face region of the image to be processed is obtained；
Lightness V component is obtained from the corresponding HSV image of human face region of the image to be processed；
The direction of current light is determined according to the lightness V component.
5. the method according to claim 1, wherein described according to the image to be processed and the original two-value
Change image to be synthesized, obtain the image of portrait main body, comprising:
According to the image to be processed multiplied by the original binary image, the image of portrait main body is obtained.
6. the method according to claim 1, wherein the image to be processed according to after the movement and described
Binary image after movement is synthesized, and the image in the shadow region of the portrait main body is obtained, comprising:
The original binary image is overlapped with the binary image after the movement, obtains the binaryzation of lap
Image；
Using the binary image of lap described in the binary picture image subtraction after the movement, the portrait main body is obtained
The binary image in shadow region；
According to the image to be processed after the movement multiplied by the binary image in the shadow region of the portrait main body, obtain described
The image in the shadow region of portrait main body.
7. a kind of image processing method characterized by comprising
Obtain the original binary image of image to be processed；
The image to be processed, the original binary image are amplified on the radiation direction on the image to be processed respectively
Presupposition multiple obtains amplified image to be processed, amplified binary image；
It is synthesized according to the image to be processed and the original binary image, obtains the image of portrait main body；
It is synthesized according to the amplified image to be processed and the amplified binary image, obtains the portrait master
The image in the shadow region of body；
The image of the portrait main body and the image in the shadow region of the portrait main body are synthesized, obtains having and trembles light light
The image of line effect.
8. a kind of image processing apparatus, which is characterized in that described device includes:
Original binary image obtains module, for obtaining the original binary image of image to be processed；
Mobile module, for by the image to be processed, the original binary image respectively on the image to be processed
Mobile preset number pixel on radiation direction, the binary image after image to be processed, movement after being moved；
The image collection module of portrait main body, for being closed according to the image to be processed and the original binary image
At obtaining the image of portrait main body；
The image collection module in the shadow region of portrait main body, for according to after the movement image to be processed and the movement
Binary image afterwards is synthesized, and the image in the shadow region of the portrait main body is obtained；
Synthesis module, for the image of the portrait main body and the image in the shadow region of the portrait main body to be synthesized,
It obtains with the image for trembling light light effects.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The step of image processing method as described in any one of claims 1 to 7 is realized when processor executes.
10. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized described in any one of claims 1 to 7 when executing the computer program
Image processing method the step of.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686122A (en) * | 2020-12-25 | 2021-04-20 | 浙江大华技术股份有限公司 | Human body and shadow detection method, device, electronic device and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060274064A1 (en) * | 2005-06-01 | 2006-12-07 | Microsoft Corporation | System for softening images in screen space |
| CN101071511A (en) * | 2007-06-26 | 2007-11-14 | 腾讯科技（深圳）有限公司 | Shadow drawing method and device |
| CN101136108A (en) * | 2007-09-26 | 2008-03-05 | 腾讯科技（深圳）有限公司 | Shadows plotting method and rendering device thereof |
| US7439975B2 (en) * | 2001-09-27 | 2008-10-21 | International Business Machines Corporation | Method and system for producing dynamically determined drop shadows in a three-dimensional graphical user interface |
| US7764286B1 (en) * | 2006-11-01 | 2010-07-27 | Adobe Systems Incorporated | Creating shadow effects in a two-dimensional imaging space |
| CN102365657A (en) * | 2009-03-27 | 2012-02-29 | 汤姆森特许公司 | Method for generating shadows in an image |
| CN104123743A (en) * | 2014-06-23 | 2014-10-29 | 联想(北京)有限公司 | Image shadow adding method and device |
| CN104851122A (en) * | 2015-05-08 | 2015-08-19 | 北京金山安全软件有限公司 | Method and device for generating shadow special effect graph |
| CN104933746A (en) * | 2015-05-21 | 2015-09-23 | 广东欧珀移动通信有限公司 | Method and device for setting dynamic shadow for plane image |
| CN108525298A (en) * | 2018-03-26 | 2018-09-14 | 广东欧珀移动通信有限公司 | Image processing method, device, storage medium and electronic equipment |
-
2018
- 2018-09-28 CN CN201811142884.9A patent/CN109447925B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7439975B2 (en) * | 2001-09-27 | 2008-10-21 | International Business Machines Corporation | Method and system for producing dynamically determined drop shadows in a three-dimensional graphical user interface |
| US20060274064A1 (en) * | 2005-06-01 | 2006-12-07 | Microsoft Corporation | System for softening images in screen space |
| US7764286B1 (en) * | 2006-11-01 | 2010-07-27 | Adobe Systems Incorporated | Creating shadow effects in a two-dimensional imaging space |
| CN101071511A (en) * | 2007-06-26 | 2007-11-14 | 腾讯科技（深圳）有限公司 | Shadow drawing method and device |
| CN101136108A (en) * | 2007-09-26 | 2008-03-05 | 腾讯科技（深圳）有限公司 | Shadows plotting method and rendering device thereof |
| CN102365657A (en) * | 2009-03-27 | 2012-02-29 | 汤姆森特许公司 | Method for generating shadows in an image |
| CN104123743A (en) * | 2014-06-23 | 2014-10-29 | 联想(北京)有限公司 | Image shadow adding method and device |
| CN104851122A (en) * | 2015-05-08 | 2015-08-19 | 北京金山安全软件有限公司 | Method and device for generating shadow special effect graph |
| CN104933746A (en) * | 2015-05-21 | 2015-09-23 | 广东欧珀移动通信有限公司 | Method and device for setting dynamic shadow for plane image |
| CN108525298A (en) * | 2018-03-26 | 2018-09-14 | 广东欧珀移动通信有限公司 | Image processing method, device, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 孙俊: "《光谱技术在农作物/农产品信息无损检测中的应用》", 30 June 2017, 东南大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112686122A (en) * | 2020-12-25 | 2021-04-20 | 浙江大华技术股份有限公司 | Human body and shadow detection method, device, electronic device and storage medium |
| CN112686122B (en) * | 2020-12-25 | 2023-09-29 | 浙江大华技术股份有限公司 | Human body and shadow detection method and device, electronic equipment and storage medium |
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