CN103685965B - The processing method and equipment of a kind of image information - Google Patents
The processing method and equipment of a kind of image information Download PDFInfo
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- CN103685965B CN103685965B CN201210347610.XA CN201210347610A CN103685965B CN 103685965 B CN103685965 B CN 103685965B CN 201210347610 A CN201210347610 A CN 201210347610A CN 103685965 B CN103685965 B CN 103685965B
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Abstract
The invention discloses a kind of processing method of image information and equipment, its main contents includes：According to the corresponding relation between default image information and tupe information, it is determined that tupe information corresponding to current image information to be collected, and each frame image information for collecting performs following operate：It is determined that the first time information of collection previous frame image information, and when the second moment arrival after first time information starts to gather current frame image information, type is handled according to corresponding to the first time information in the tupe information of determination, the previous frame image information collected is handled, compared with prior art, the image information collected is handled using the different disposal type in tupe information, change the video information quality after by the way of single tupe is handled, improving processing in the prior art.
Description
Technical field
The present invention relates to the processing method and equipment in Image Information Processing field, more particularly to a kind of image information.
Background technology
With the development of society, around people's life, the video monitoring system for safety monitoring is seen everywhere.Institute
It is that a certain scene is continuously shot using video image acquisition device and gathers image information to state video monitoring system, right
Outputting video streams information after the image information collected is handled.Common video image acquisition device includes video camera, its
In, video camera is a kind of device that the optical signal of collection is converted into electric signal, is mainly included：Optical system（I.e. common takes the photograph
The camera lens of camera）, photo-translating system and circuit system.
But in the prior art, using camera acquisition image information, generally using a kind of tupe to collecting
Image information handled, as shown in figure 1, concrete mode includes：
The first step：Imaging sensor carries out IMAQ to the object to be shot, and the image collected in real time is believed
Breath is sent to image controller.
Second step：Image controller is according to a kind of tupe being locally stored at the image information that receives
Reason, and export the Video stream information after processing.
In actual life, different image informations is gathered for different application environment, using single tupe only
A kind of Video stream information can be exported, when monitors environment is different, coordinates the demand of different light, often same position has a variety of prisons
Scene is controlled, the image information of collection is handled using the tupe of single fixation, it is impossible in time to the place of image information
Reason is adjusted, and can not be classified by scene changes
In summary, the mode handled in the prior art the image information of collection is single, will so cause to handle
Video stream information afterwards can not meet the needs of practical application scene, and obtained Video stream information is single.
The content of the invention
The embodiments of the invention provide a kind of processing method of image information and equipment, for solving in the prior art to adopting
The mode that the image information of collection is handled is single, cause processing after Video stream information it is single the problem of.
A kind of processing method of image information, methods described include：
According to the corresponding relation between default each frame image information and tupe information, it is determined that current to be collected
Tupe information corresponding to each frame image information, the tupe information include：Gather each frame image information
Processing type corresponding to time information and the time information；
Following operate is performed for each frame image information collected：
It is determined that the first time information of collection previous frame image information；
Reached at the second moment when starting to gather current frame image information, during according to first in the tupe information of determination
Processing type corresponding to information is carved, the previous frame image information collected is handled.
A kind of processing equipment of image information, the equipment include：
Determining module, for according to the corresponding relation between default each frame image information and tupe information, really
Tupe information corresponding to settled preceding each frame image information to be collected, the tupe information include：Collection is every
At the time of one frame image information type is handled corresponding to information and the time information；
Processing module, for performing following operate for each frame image information collected：It is determined that collection previous frame figure
As the first time information of information, and when the second moment, arrival started to gather current frame image information, according to the processing of determination
Processing type corresponding to the first time information, is handled the previous frame image information collected in pattern information.
The present invention has the beneficial effect that：
The embodiment of the present invention by the corresponding relation between presetting each frame image information and tupe information,
When before progress image information collecting, first, tupe information corresponding to each frame image information to be collected is determined；Secondly,
For each frame image information collected, image information is handled using the processing type in tupe information, changed
Become in the prior art by the way of single tupe carries out image procossing so that in same image capture device,
The video flowing classified with scene type is obtained according to monitoring scene, adds the species of Video stream information output.
Brief description of the drawings
Fig. 1 is the schematic diagram for carrying out image procossing mode in the prior art；
Fig. 2 is a kind of flow chart of the processing method of image information of the embodiment of the present invention one；
Fig. 3 is the schematic diagram for being exposed processing to the frame image information received using obtained exposure time；
Fig. 4 is a kind of structural representation of the processing equipment of image information of the embodiment of the present invention two；
Fig. 5 is a kind of structure chart of the processing system of image information of the embodiment of the present invention three.
Embodiment
In order to realize the object of the invention, the embodiments of the invention provide a kind of processing method of image information and equipment, root
According to the corresponding relation between default each frame image information and tupe information, it is determined that current each two field picture to be collected
Tupe information corresponding to information, and each frame image information for collecting performs following operate：It is determined that collection upper one
First time information of frame image information, and the second moment arrival after first time information starts to gather present frame
During image information, type is handled according to corresponding to the first time information in the tupe information of determination, to collect upper one
Frame image information is handled.
Compared with prior art, by presetting the corresponding pass between each frame image information and tupe information
System, before image information collecting is carried out, first, determines tupe information corresponding to each frame image information to be collected；
Secondly, for each frame image information collected, the image collected is believed using the processing type in tupe information
Breath is handled, change in the prior art using single tupe progress image procossing by the way of, add video flowing
The species of information output.
Various embodiments of the present invention are described in detail with reference to Figure of description.
Embodiment one：
As shown in Fig. 2 the flow chart of the processing method for a kind of image information of the embodiment of the present invention one, methods described bag
Include：
Step 101：According to the corresponding relation between default each frame image information and tupe information, it is determined that currently
Tupe information corresponding to each frame image information to be collected.
Wherein, the tupe information includes handling type and exposure time, wherein, in a kind of tupe information
Type is handled comprising one kind.
As shown in table 1, the corresponding relation between default each frame image information and tupe information：
| Gather the frame number of image | Tupe information | Handle type |
| First frame image information | Tupe 1 | A |
| Second frame image information | Tupe 1 | A |
| 3rd frame image information | Tupe 2 | B |
| 4th frame image information | Tupe 3 | C |
| 5th frame image information | Tupe 1 | A |
Table 1
From table 1 it follows that the image information of different frame can correspond to identical tupe information.That is,
Corresponding relation between default each frame image information and tupe information includes：Different frame image informations correspond to identical
Tupe information；And different frame image informations correspond to different tupe information.
More preferably, before image information is gathered, it is determined that the transfer sequence of the different disposal pattern information used, example
Such as：Used different disposal pattern information includes tupe 1, tupe 2 and tupe 3, determines at above-mentioned three kinds
The transfer sequence of reason pattern is：Tupe 1 switches to tupe 2 to switch to tupe 3.
Specifically, a kind of pattern information corresponds to three frame image informations of continuous acquisition, i.e. 1 corresponding continuous acquisition of tupe
Three frame image informations；Switch to three frame image informations of the corresponding continuous acquisition of tupe 2；Switch to tupe 3 right again
Three frame image informations of continuous acquisition are answered, pair established in this way between each frame image information and tupe information
It should be related to.
The transfer sequence of the tupe information can be switched over or root according to setting priority orders
According to being actually needed switch mode set in advance.
Such as：Switch mode set in advance is by random switching, fixed duration switching etc..
It should be noted that after the transfer sequence of tupe information determines, which a kind of tupe information corresponds to
Several frame image informations do not limit, as long as ensureing that each frame image information corresponds to a kind of tupe information, multiple image information
Corresponding different disposal pattern information.
Step 102：When reaching the time of setting, triggering imaging sensor collection image information.
In a step 102, the time for starting to gather image information that the time of the setting refers to determine.
Specifically, due to being continuous using the image information of camera acquisition, therefore, camera acquisition image is being utilized
Before information, it is thus necessary to determine that information at the time of gathering each frame image information.
Step 103：It is determined that the first time information of collection previous frame image information.
Specifically, when imaging sensor is when the first moment started to gather the previous frame image information, record gathers institute
State the first time information of previous frame image information.
Before step 103 execution, methods described also includes：
The first step：Since the first moment corresponding to first time information, the previous frame image information is gathered.
If previous frame image information is any the first two field picture for once carrying out image information collecting, then the first moment was
Refer to the initial time that this time carries out image information collecting.
The temporal information at the first moment of previous frame image information will be gathered as the first time information.
Second step：During the previous frame image information is gathered, according to the previous frame figure of step 101 determination
The tupe information as corresponding to information, obtain being exposed the frame image information exposure time of processing.
Specifically, the exposure time is a kind of theoretical exposure time, be not it is changeless, can be according to actual need
It is adjusted.
Such as：When gathering a frame image information, exposed in tupe information 1 corresponding to the frame image information of setting
Shi Changwei T1, but in practical operation, the frame image information is exposed processing it is actual when a length of T2（T2 is less than T1）,
At this point it is possible to the exposure time of tupe 1 is adjusted to T2.
It should be noted that when the multiple image to collecting is exposed processing, used exposure time is divided into
Two kinds of situations：When a certain processing pattern information is selected first in use, the then two field picture corresponding to a certain frame image information
The exposure time that information is exposed processing is the advance theoretical exposure time determined；Any frame image information corresponds to again afterwards
During the tupe information, the exposure time that processing is exposed to any frame image information will be according to the use processing mould
The actual exposure time that formula information calculates when handling previous frame image information determines.
Such as：Tupe corresponding to first frame image information of collection is tupe 1, wherein, wrapped in tupe 1
The exposure time contained is t1, then the exposure time utilized when the first frame image information to collecting is exposed processing is
t1；When being handled according to pattern 1 the first frame image information, when calculating the actual exposure that the first frame image information is exposed
A length of t2（T1 is not equal to t2）, then when tupe corresponding to the 3rd two field picture of collection is tupe 1, to collection
To the 3rd frame image information to be exposed the exposure time that is utilized during processing be t2.
3rd step：The previous frame image information of collection is exposed according to the exposure time.
Specifically, during the previous frame image information is gathered, according to obtained exposure time, it is determined that to the frame
Image information is exposed the time of processing, and exposure-processed operation is completed when the two field picture receives.
Such as：As shown in figure 3, to be exposed processing to the frame image information received using obtained exposure time
Schematic diagram.It can be seen that the frame image information is received since the T1 moment, until the T2 moment is to the frame image information
Receive, if obtained exposure time is t3, wherein, t3 is less than（T2 and T1 difference）, then proceed by exposure-processed
At the time of be the T3 moment, then since the T3 moment processing is exposed to the frame image information.
Step 104：When the second moment arrival after first time information starts to gather current frame image information,
Using the processing type in tupe information corresponding to the previous frame image information of determination, to the previous frame figure collected
As information is handled.
At step 104, specifically, the second moment after first time information, which reaches, starts to gather present frame
During image information, type is handled using corresponding to the previous frame image information of determination, the previous frame image after exposure is believed
Breath is handled.
It should be noted that " first " in the first time information do not have with " second " in second moment it is tangible
Implication, information at the time of being intended merely to distinguish two differences.
Wherein, the processing parameter includes auto exposure parameter and AWB parameter.
When the processing parameter that the processing type includes is auto exposure parameter, using the auto exposure parameter, to adopting
The previous frame image information collected is handled.
More preferably, after the previous frame image information to collecting is handled, calculate this and exposed using automatic
The actual exposure time that optical parameter is handled, and record the corresponding pass between the actual exposure time and the processing type
System；Using obtained actual exposure time as exposure time new corresponding to the processing type, and it is corresponding to update the processing type
Tupe information in exposure time information, be advantageous to when collection nth frame image information correspond to identical tupe
During information, processing is exposed to the nth frame image information of collection using the exposure time after renewal, in relatively accurate exposure
Exposure-processed operation is completed in duration, accelerates the speed of Image Information Processing.
When the processing parameter that includes of processing type is AWB parameter, using the AWB parameter,
The previous frame image information collected is handled.
More preferably, after the previous frame image information to collecting is handled, it is automatic white to determine that this is utilized
Actual white balance parameter information when balance parameters are handled, and actual white balance parameter information is new as the processing type
AWB parameter, update tupe information in handle type AWB parameter, be advantageous to when collection N
When frame image information corresponds to identical tupe information, the nth frame figure using the AWB parameter after renewal to collection
, can be identical with the exposure parameter that this is exposed processing as information is handled, reach identical treatment effect, wherein, N
For natural number.
More preferably, the processing parameter can also include the other parameters in image procossing, such as automatic gain parameter.
More preferably, it is determined that after the first time information of collection previous frame image information, the arrival of the second moment starts to adopt
Before collecting current frame image information, replacing message is received, the previous frame image information pair is carried in the replacing message
The new processing type answered.
For example, according to the corresponding relation between default each frame image information and tupe information, wherein, M frames
Processing type in tupe information corresponding to image information is A, when the collection of M frame image informations finishes, to M frames
The processing type that image information is handled is A, now, is reached at the second moment before starting to gather current frame image information,
Before handling M frames, replacing message is received, is carried in the replacing message corresponding to the M two field pictures
Processing type is B, then it is determined that the processing type handled the M frame image informations collected is B, wherein, M is nature
Number.
The second moment reach start gather current frame image information when, using carried in the new information it is described on
New processing type corresponding to one frame image information, is handled the previous frame image information collected.
Such as：When the second moment, arrival started to gather current frame image information, the processing type A determined originally is changed
To handle type B, the previous frame image information collected is handled using the processing type B.
Step 105：After the Image Information Processing to collecting, independently outputting video streams information.
At step 104, after the image information to collecting is handled, according to what is determined for each frame image information
Type is handled, obtained image data stream is grouped, wherein, obtain image data stream using same treatment type and belong to same
One group, the image data stream obtained using different disposal type belongs to different groups；And the different image data streams organized that will be obtained
Different vision signals is exported respectively.
It is corresponding between each frame image information and tupe information by presetting in the scheme of embodiment one
Relation, before image information collecting is carried out, first, determine tupe information corresponding to image information to be collected；Secondly,
For each frame image information collected, using the processing type in different disposal pattern information to the image information that collects
Handled, change in the prior art by the way of single tupe carries out image procossing, add video flowing letter
Cease the species of output.
Embodiment two：
As shown in figure 4, the structural representation of the processing equipment for a kind of image information of the embodiment of the present invention two, described to set
It is standby to include：Determining module 11 and processing module 12, wherein：
Determining module 11, for according to the corresponding relation between default each frame image information and tupe information,
It is determined that tupe information corresponding to current each frame image information to be collected, the tupe information include：Collection
At the time of each frame image information type is handled corresponding to information and the time information.
Processing module 12, for performing following operate for each frame image information collected：It is determined that collection previous frame
First time information of image information, and the second moment arrival after first time information starts to gather present frame figure
During as information, type is handled using corresponding to the previous frame image information of determination, to the previous frame image information collected
Handled.
More preferably, the equipment also includes：Grouping module 13 and output module 14, wherein：
Grouping module 13, for after the image information to collecting is handled, according to for each frame image information it is true
Fixed processing type, obtained image data stream is grouped, wherein, obtain image data stream category using same treatment type
In same group, the image data stream obtained using different disposal type belongs to different groups.
Output module 14, for the obtained different image data streams organized to be exported into different vision signals respectively.
Wherein, the tupe information also includes exposure time.
The equipment also includes：Acquisition module 15, exposure time determining module 16 and exposure module 17, wherein：
Acquisition module 15, for from the first moment corresponding to first time information, gathering the previous frame image
Information.
Exposure time determining module 16, for during the previous frame image information is gathered, according to the place of determination
Pattern information is managed, obtains being exposed the frame image information exposure time of processing.
Exposure module 17, for being exposed in the exposure time to the frame image information of collection.
The processing module 12, reach to start to gather specifically for the second moment after first time information and work as
During prior image frame information, type is handled using corresponding to the previous frame image information of determination, to the previous frame figure after exposure
As information is handled.
Wherein, the processing type includes processing parameter, wherein, the processing parameter is auto exposure parameter.
The processing module 12, specifically for the auto exposure parameter that is included in the processing type using determination to exposure at
Previous frame image information after reason is handled.
More preferably, the equipment also includes：The update module 19 of computing module 18 and first, wherein：
Computing module 18, after handling the previous frame image information collected, calculate this utilization
The actual exposure time that auto exposure parameter is handled；
First update module 19, for recording the corresponding relation between the actual exposure time and the processing type, and
Update the exposure time in tupe information.
Wherein, the processing type includes processing parameter, wherein, the processing parameter is AWB parameter.
The processing module 12, specifically for the AWB parameter that is included in the processing type using determination to exposure
Previous frame image information after processing is handled.
The equipment also includes：The update module 21 of parameter determination module 20 and second, wherein：
Parameter determination module 20, after handling the previous frame image information collected, determine this
Actual white balance parameter information when being handled using AWB parameter.
Second update module 21, for recording the corresponding relation between the actual white balance parameter and the processing type,
And update the AWB parameter that type is handled in tupe information.
More preferably, the equipment also includes：Receiving module 22, wherein：
Receiving module 22, for it is determined that after the first time information of collection previous frame image information, the second moment to arrive
Up to before starting to gather current frame image information, replacing message is received, the previous frame figure is carried in the replacing message
The new processing type as corresponding to information.
The processing module 12, specifically for corresponding using the previous frame image information carried in the new information
New processing type, the previous frame image information collected is handled.
Embodiment three：
As shown in figure 5, the structure chart of the exposure processing system for a kind of image information of the embodiment of the present invention three, the system
System includes：Image controller 31, image processor 32 and imaging sensor 33, wherein：
Image controller 31, for the corresponding relation between pre-set image information and exposure mode information, and will be default
The corresponding relation is sent to image processor.
Wherein, the exposure mode information includes：Information and the moment letter at the time of gathering each frame image information
Type of exposure corresponding to breath.
Image processor 32, information at the time of gathering image information for determination, and the time information is sent to image
Sensor.
Imaging sensor 33, for when the time information received reaches, gathering image information, and will collect
Image information be sent to image processor.
Specifically, the mode for gathering image information is：Image information is gathered in units of frame, often gathers a frame image information
Afterwards, and when preparing to start to gather current frame image information, the previous frame image information collected is sent to image processor.
Described image processor 32, for receiving the image information of imaging sensor transmission, it is determined that gathering the image information
At the time of information, and according to the corresponding relation in the exposure mode information being locally stored between time information and type of exposure, obtain
The type of exposure of processing is exposed to the image information to receiving, and the image information and the type of exposure are sent to
Image controller.
Described image controller 31, for being exposed processing to the image information received using the type of exposure,
And export the Video stream information after exposure-processed.
It should be noted that a function part possessed by implementing the exposure-processed equipment being related in two can be integrated in
In image controller, another part function is integrated in the image processor；Both can be image controller or image processor
In logical block, can also be the autonomous device independently of image controller or image processor, do not limit specifically here
It is fixed.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (16)
1. a kind of processing method of image information, it is characterised in that methods described is applied to video monitoring, and methods described includes：
According to the corresponding relation between default each frame image information and tupe information, it is determined that currently to be collected is each
Tupe information corresponding to frame image information, the tupe information include handling type；Different disposal type is corresponding
The scene type of different monitoring scene；
Following operate is performed for each frame image information collected：
It is determined that the first time information of collection previous frame image information；
When the second moment arrival after first time information starts to gather current frame image information, the institute of determination is utilized
The processing type in tupe information corresponding to previous frame image information is stated, at the previous frame image information that collects
Reason.
2. the method as described in claim 1, it is characterised in that methods described also includes：
After the image information to collecting is handled, according to the processing type determined for each frame image information, it will obtain
Image data stream be grouped, wherein, obtain image data stream using same treatment type and belong to same group, using not existing together
The image data stream that reason type obtains belongs to different groups；
The obtained different image data streams organized are exported into different vision signals respectively.
3. the method as described in claim 1, it is characterised in that the tupe information also includes exposure time；
It is determined that before the first time information of collection previous frame image information, methods described also includes：
From the first moment corresponding to first time information, the previous frame image information is gathered；
During the previous frame image information is gathered, according to the tupe information of determination, obtain believing the two field picture
Breath is exposed the exposure time of processing；
The frame image information of collection is exposed in the exposure time；
When the second moment arrival after first time information starts to gather current frame image information, the institute of determination is utilized
Processing type corresponding to previous frame image information is stated, the previous frame image information collected is handled, specifically included：
When the second moment arrival after first time information starts to gather current frame image information, the institute of determination is utilized
Processing type corresponding to previous frame image information is stated, the previous frame image information after exposure is handled.
4. the method as described in claims 1 to 3 is any, it is characterised in that the processing type includes processing parameter, wherein,
The processing parameter is auto exposure parameter；
Type is handled using corresponding to the previous frame image information of determination, at the previous frame image information after exposure
Reason, is specifically included：
Using the auto exposure parameter included in the processing type of determination to the previous frame image information after exposure-processed at
Reason.
5. method as claimed in claim 4, it is characterised in that carry out handling it to the previous frame image information collected
Afterwards, methods described also includes：
Calculate this actual exposure time handled using auto exposure parameter；
The corresponding relation between the actual exposure time and the processing type is recorded, and updates the exposure in tupe information
Duration.
6. the method as described in claims 1 to 3 is any, it is characterised in that the processing type includes processing parameter, wherein,
The processing parameter is AWB parameter；
Type is handled using corresponding to the previous frame image information of determination, at the previous frame image information after exposure
Reason, is specifically included：
The previous frame image information after exposure-processed is carried out using the AWB parameter included in the processing type of determination
Processing.
7. method as claimed in claim 6, it is characterised in that carry out handling it to the previous frame image information collected
Afterwards, methods described also includes：
Determine actual white balance parameter information when this is handled using AWB parameter；
The corresponding relation between the actual white balance parameter information and the processing type is recorded, and is updated in tupe information
Handle the AWB parameter of type.
8. the method as described in claim 1, it is characterised in that it is determined that the first time information of collection previous frame image information
Afterwards, the second moment was reached before starting collection current frame image information, and methods described also includes：
Replacing message is received, processing type new corresponding to the previous frame image information is carried in the replacing message；
Type is handled using corresponding to the previous frame image information of determination, at the previous frame image information that collects
Reason, is specifically included：
It is upper to what is collected using processing type new corresponding to the previous frame image information carried in the replacing message
One frame image information is handled.
9. a kind of processing equipment of image information, it is characterised in that the equipment application includes in video monitoring, the equipment：
Determining module, for according to the corresponding relation between default each frame image information and tupe information, it is determined that working as
Tupe information corresponding to preceding each frame image information to be collected, the tupe information include：Gather each frame
At the time of image information type is handled corresponding to information and the time information；Different disposal type corresponds to different monitoring scene
Scene type；
Processing module, for performing following operate for each frame image information collected：It is determined that collection previous frame image letter
First time information of breath, and the second moment arrival after first time information starts to gather current frame image information
When, type is handled using corresponding to the previous frame image information of determination, at the previous frame image information that collects
Reason.
10. equipment as claimed in claim 9, it is characterised in that the equipment also includes：
Grouping module, for after the image information to collecting is handled, according to the place determined for each frame image information
Type is managed, obtained image data stream is grouped, wherein, obtain image data stream using same treatment type and belong to same
Group, the image data stream obtained using different disposal type belong to different groups；
Output module, for the obtained different image data streams organized to be exported into different vision signals respectively.
11. equipment as claimed in claim 9, it is characterised in that the tupe information also includes exposure time；
The equipment also includes：
Acquisition module, for from the first moment corresponding to first time information, gathering the previous frame image information；
Exposure time determining module, for during the previous frame image information is gathered, according to the tupe of determination
Information, obtain being exposed the frame image information exposure time of processing；
Exposure module, for being exposed in the exposure time to the frame image information of collection；
The processing module, reached specifically for the second moment after first time information and start to gather present frame figure
During as information, type is handled using corresponding to the previous frame image information of determination, to the previous frame image information after exposure
Handled.
12. the equipment as described in claim 9~11 is any, it is characterised in that the processing type includes processing parameter, its
In, the processing parameter is auto exposure parameter；
The processing module, specifically for the auto exposure parameter that is included in the processing type using determination to exposure-processed after
Previous frame image information is handled.
13. equipment as claimed in claim 12, it is characterised in that the equipment also includes：
Computing module, after handling the previous frame image information collected, calculate this and exposed using automatic
The actual exposure time that optical parameter is handled；
First update module, for recording the corresponding relation between the actual exposure time and the processing type, and at renewal
Manage the exposure time in pattern information.
14. the equipment as described in claim 9~11 is any, it is characterised in that the processing type includes processing parameter, its
In, the processing parameter is AWB parameter；
The processing module, specifically for the AWB parameter that is included in the processing type using determination to exposure-processed after
Previous frame image information handled.
15. equipment as claimed in claim 14, it is characterised in that the equipment also includes：
Parameter determination module, after handling the previous frame image information collected, determine this using certainly
Actual white balance parameter information when dynamic white balance parameter is handled；
Second update module, for recording the corresponding relation between the actual white balance parameter and the processing type, and update
The AWB parameter of type is handled in tupe information.
16. equipment as claimed in claim 9, it is characterised in that the equipment also includes：
Receiving module, for it is determined that after the first time information of collection previous frame image information, the arrival of the second moment to start
Before gathering current frame image information, replacing message is received, the previous frame image information is carried in the replacing message
Corresponding new processing type；
The processing module, specifically for using new corresponding to the previous frame image information that carries in the replacing message
Type is handled, the previous frame image information collected is handled.
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| CN201210347610.XA CN103685965B (en) | 2012-09-18 | 2012-09-18 | The processing method and equipment of a kind of image information |
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| CN201210347610.XA CN103685965B (en) | 2012-09-18 | 2012-09-18 | The processing method and equipment of a kind of image information |
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| CN107426605A (en) * | 2017-04-21 | 2017-12-01 | 北京疯景科技有限公司 | Data processing method and device |
| CN107135386B (en) * | 2017-04-26 | 2018-09-07 | 北京图森未来科技有限公司 | A kind of binocular camera system |
| CN113365101B (en) * | 2020-03-05 | 2023-06-30 | 腾讯科技（深圳）有限公司 | Method for multitasking video and related equipment |
| CN113709385A (en) * | 2021-03-05 | 2021-11-26 | 腾讯科技（深圳）有限公司 | Video processing method and device, computer equipment and storage medium |
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