CN110062161A - Image processor, image processing method, filming apparatus and electronic equipment - Google Patents
Image processor, image processing method, filming apparatus and electronic equipment Download PDFInfo
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- CN110062161A CN110062161A CN201910285809.6A CN201910285809A CN110062161A CN 110062161 A CN110062161 A CN 110062161A CN 201910285809 A CN201910285809 A CN 201910285809A CN 110062161 A CN110062161 A CN 110062161A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
Abstract
This application discloses a kind of image processor, image processing method, filming apparatus and electronic equipments.Image processor includes hardware abstraction layer and algorithm post-processing module.Hardware abstraction layer is used for transmission image data and metadata corresponding with image data.Algorithm post-processing module is connect with hardware abstraction layer, at least one image processing algorithm is stored in algorithm post-processing module, algorithm post-processing module is for using image processing algorithm and handling image data according to metadata to realize post-processing of taking pictures.In the image processor of the application embodiment, image processing method, filming apparatus and electronic equipment, hardware abstraction layer does not carry out post-processing of taking pictures to image data, the image data post-processing that take pictures can be realized by algorithm post-processing module, take pictures post-processing image processing algorithm without doing process truncation on the algorithm framework of hardware abstraction layer itself, only compatibility need to be done in outside, design difficulty reduces.
Description
Technical field
This application involves technical field of image processing, more specifically, are related to a kind of image processor, image processing method
Method, filming apparatus and electronic equipment.
Background technique
Currently, post-processing of taking pictures, such as U.S. face processing, filter processing, rotation processing, watermark processing, virtualization processing, height are moved
State range (High-Dynamic Range, HDR) processing and multi-frame processing etc. are all in hardware abstraction layer (Hardware
Abstract Layer, HAL) in processing, wherein hardware abstraction layer is usually to be provided by manufacturer, after being taken pictures
The image processing algorithm of reason is then provided by another manufacturer, and when doing compatible design, image processing algorithm will be taken out the two in hardware
As module itself algorithm framework on do process truncation, the two coupling causes design difficulty big.
Summary of the invention
The application embodiment provides a kind of image processor, image processing method, filming apparatus and electronic equipment.
The image processor of the application embodiment includes hardware abstraction layer and algorithm post-processing module.The hardware is taken out
As module is used for transmission image data and metadata corresponding with described image data.The algorithm post-processing module and described hard
Part abstract module connects, and at least one image processing algorithm, the algorithm post-processing are stored in the algorithm post-processing module
Module is for using described image Processing Algorithm and handling described image data according to the metadata to realize post-processing of taking pictures.
The image processing method of the application embodiment includes: hardware abstraction layer transmission image data and and described image
The corresponding metadata of data；And algorithm post-processing module handles described image using image processing algorithm and according to the metadata
Data are to realize post-processing of taking pictures.
The filming apparatus of the application embodiment includes above-mentioned image processor and imaging sensor, described image sensor
It is connect with described image processor.
The electronic equipment of the application embodiment includes above-mentioned filming apparatus and shell, the filming apparatus and the shell
In conjunction with.
In the image processor of the application embodiment, image processing method, filming apparatus and electronic equipment, hardware abstraction
Module does not carry out post-processing of taking pictures to image data, and take pictures post-processing to image data can be real by algorithm post-processing module
Existing, the image processing algorithm for post-processing of taking pictures only is needed without doing process truncation on the algorithm framework of hardware abstraction layer itself
Compatibility is done in outside, design difficulty reduces.
The additional aspect and advantage of presently filed embodiment will be set forth in part in the description, partially will be from following
Description in become obvious, or recognized by the practice of presently filed embodiment.
Detailed description of the invention
The above-mentioned and/or additional aspect and advantage of the application is from combining in description of the following accompanying drawings to embodiment by change
It obtains obviously and is readily appreciated that, in which:
Fig. 1 and Fig. 2 is the schematic diagram of the filming apparatus of the application certain embodiments；
Fig. 3 is the schematic diagram of the algorithm post-processing module of the application certain embodiments；
Fig. 4 is the schematic diagram of the filming apparatus of the application certain embodiments；
Fig. 5 and Fig. 6 is the structural schematic diagram of the electronic equipment of the application certain embodiments；
Fig. 7 to Figure 12 is the flow diagram of the image processing method of the application certain embodiments.
Specific embodiment
Presently filed embodiment is described below in detail, the example of embodiment is shown in the accompanying drawings, same or similar
Label indicates same or similar element or element with the same or similar functions from beginning to end.It is retouched below with reference to attached drawing
The embodiment stated is exemplary, and is only used for explaining the application, and should not be understood as the limitation to the application.
Following disclosure provides many different embodiments or example is used to realize presently filed embodiment not
Same structure.In order to simplify the disclosure of presently filed embodiment, hereinafter the component of specific examples and setting are described.When
So, they are merely examples, and purpose does not lie in limitation the application.
Referring to Fig. 1, filming apparatus 100 includes image processor 10 and imaging sensor 20.Image processor 10 and figure
As sensor 20 connects.Imaging sensor 20 includes image acquisition units (sensor) 22 and RAW image data cell (Image
Front-end, IFE) 24, image acquisition units 22 are for receiving light to acquire acquisition RAW image, RAW image data cell
24 for being transmitted to image processor 10 for the RAW image that image acquisition units 22 acquire, wherein RAW image data cell 24
Image acquisition units 22 can be acquired with the RAW image obtained be handled and the RAW image that exports that treated is to image procossing
Device 10.
Image processor 10 include hardware abstraction layer 12 and algorithm post-processing module (Algo process service,
APS)16。
Hardware abstraction layer 12 is used for transmission image data and metadata corresponding with image data (metadata).Its
In, image data may include RAW image and/or YUV image.Specifically, hardware abstraction layer 12 can be used for receiving RAW figure
RAW image is converted to YUV image and transmission RAW image and/or YUV image by picture.Hardware abstraction layer 12 can be with image
Sensor 20 connects.Hardware abstraction layer 12 may include the cache unit (buffer queue) connecting with imaging sensor 20
122, RAW turns the drop that RGB processing unit (Bayer Process Segment, BPS) 124 and connect with application program module 14
It makes an uproar and YUV post-processing unit (Image Process Engine, IPE) 126.Cache unit 122 is passed for caching from image
The RAW image of sensor 20 is simultaneously transferred to algorithm post-processing module 16.RAW turns RGB processing unit 124 for that will come from cache unit
122 RAW image is converted to RGB image.Noise reduction and YUV post-processing unit 126, which are used to handle RGB image, obtains YUV image simultaneously
YUV image is transferred to algorithm post-processing module 16.Metadata include 3a (auto-exposure control AE, auto focus control AF, from
Dynamic white balance controls AWB) information, pictorial information (such as picture traverse, height), exposure parameter (aperture size, shutter speed and
Sensitivity f-number) etc., can use metadata auxiliary realize to the post-processing of taking pictures of RAW image and/or YUV image (such as
Including at least one in the processing of U.S. face, filter processing, rotation processing, watermark processing, virtualization processing, HDR processing and multi-frame processing
Kind).In one embodiment, metadata includes sensitivity (ISO) information, can be schemed according to sensitivity information with auxiliary adjustment RAW
The brightness of picture and/or YUV image, to realize post-processing of taking pictures relevant to brightness is adjusted.
Since hardware abstraction layer 12 does not carry out post-processing of taking pictures to image data, the image processing algorithm for post-processing of taking pictures
Without doing process truncation on the algorithm framework of hardware abstraction layer 12 itself, only compatibility need to be done in outside, design difficulty reduces.
In the related art, hardware abstraction layer is created as the side of pipeline (pipeline) by application programming interfaces (API)
Formula is needed in camera starting by the corresponding Working mould of camera since the creation of pipeline needs a large amount of time and memory
All pipelines that formula is used first create, and in order to realize various image processing algorithms, generally require a large amount of pipeline (examples of creation
Such as more than three pipelines), this starting needs that will lead to camera takes a substantial amount of time, and occupies a large amount of memory.This Shen
Please the hardware abstraction layer 12 of embodiment take pictures post-processing, therefore, hardware abstraction are not carried out to RAW image and/or YUV image
Module 12 need to establish a small amount of (such as one or two) pipeline, without establishing a large amount of pipeline, in saving
It deposits, and the starting speed of camera can be made to become faster.
Algorithm post-processing module 16 is connect with hardware abstraction layer 12, is stored at least one in algorithm post-processing module 16
Image processing algorithm is (for example including U.S. face Processing Algorithm, filter Processing Algorithm, rotation processing algorithm, watermark processing algorithm, virtualization
At least one of Processing Algorithm, HDR Processing Algorithm and multi-frame processing algorithm), algorithm post-processing module 16 is used to use image
Processing Algorithm simultaneously handles image data (RAW image and/or YUV image) according to metadata to realize post-processing of taking pictures.Due to right
The post-processing that take pictures of RAW image and/or YUV image can be realized by algorithm post-processing module 16, without in hardware abstraction
Process truncation is done on the algorithm framework of module 12 itself, only need to do compatibility in outside, design difficulty reduces.And after taking pictures
Processing is realized by algorithm post-processing module 16, therefore the function of algorithm post-processing module 16 is more single, more focuses, so as to reach
It is fast to transplanting, it is simple and other effects to extend new image processing algorithm.
16 processing RAW images of algorithm post-processing module (such as image processing algorithm is handled for RAW image)
When, hardware abstraction layer 12 can only transmission RAW image (can not need RAW image being converted to YUV image at this time)；It is calculating
When 16 processing YUV images of method post-processing module (such as image processing algorithm is handled for YUV image), hardware abstraction mould
Block 12 can only transmit YUV image；When algorithm post-processing module 16 handles RAW image and YUV image, hardware abstraction layer 12
RAW image and YUV image can be transmitted.
Image processor 10 further includes application program module (APP) 14.Application program module 14 is for being separately connected hardware
Abstract module 12 and algorithm post-processing module 16.In the image processor 10 of the application embodiment, hardware abstraction layer 12 will
It when image data and metadata are transmitted to algorithm post-processing module 16, does not need through application program module 14, so that data pass
It is defeated more real-time and efficient, it therefore, can be in the image data of transmitted per unit time more multiframe, so that image is pre-
The functions (function of needing higher frame per second) such as look at and record a video are flowed without doing on the algorithm framework of hardware abstraction layer 12 itself
Journey truncation can use algorithm post-processing module 16 take pictures post-processing to realize the functions such as image preview and video recording, in turn
Convenient for realizing scene detection, video stabilization and other effects by image preview and video recording.
In some embodiments, image processor 10 further includes camera service module 18, and algorithm post-processing module 16 is logical
Camera service module 18 is crossed to connect with hardware abstraction layer 12.Camera service module 18 is packaged image data and metadata
And by after encapsulation image data and metadata be transmitted to algorithm post-processing module 16.In this way, right by camera service module 18
Image is packaged, and the efficiency of image transmitting can be improved, and can be improved the safety of image transmitting.It specifically, can be with
Two queues are created in the process of camera service module 18, one of them is image data queue, the other is metadata team
Column, are transmitted to algorithm post-processing module 16 for the metadata of image data and same frame by two queues.Algorithm post-processes mould
Similarly there are two corresponding queues for block 16, the two queues are created that after camera starting and for storing picture number respectively
According to and metadata.In addition, application program module 14 also can establish receiving queue, receiving queue post-processes mould for receiving algorithm
Treated the image data of block 16.
Application program module 14 can be connect by camera service module 18 with hardware abstraction layer 12, i.e. application program mould
Block 14 can be connect with camera service module 18.Application program module 14 can be used for asking to the initiation of camera service module 18 data
It asks.Specifically, application program module 14 can be used for generating request of data according to the input of user and pass through the request of data
Camera service module 18 is sent to hardware abstraction layer 12, and request of data is sent to imaging sensor again by hardware abstraction layer 12
20, to be controlled accordingly with the work to imaging sensor 20.Imaging sensor 20 generates corresponding with request of data
RAW image and metadata after, RAW image and metadata are transmitted to hardware abstraction layer 12, the root again of hardware abstraction layer 12
Corresponding image data (RAW image and/or YUV image) and metadata are transmitted to camera service module 18, phase according to request of data
Machine service module 18 image data and metadata are packaged according to request of data and by after encapsulation image data and first number
According to being transmitted to algorithm post-processing module 16.Wherein, application program module 14 can be run with 64 bits (bit), and be taken pictures
The static data link library (lib) of the image processing algorithm of post-processing is configurable to 64 bits, to improve arithmetic speed.Phase
Machine service module 18 can be also used for the result requested to 14 feedback data of application program module.
In some embodiments, camera service module 18 can be according to sensitivity information, the jitter conditions of gyroscope, AR
Scene detection results (detection scene type, such as personage, animal, landscape etc.) etc. send frame number to application program module 14 and build
View, for example, camera service module 18 is built to the frame number that application program module 14 is sent when the shake that gyroscope detects is larger
View may is that suggestion compared with multiframe, post-processing of taking pictures is better achieved；When the shake that gyroscope detects is smaller, camera clothes
Module 18 of being engaged in may is that the less frame of suggestion to the frame number suggestion that application program module 14 is sent, to reduce volume of transmitted data.Namely
It is to say, the degree of jitter positive that the frame number that camera service module 18 is suggested to application program module 14 can be detected with gyroscope
It closes.Camera service module 18 can also be according to sensitivity information, the jitter conditions of gyroscope, AR scene detection results etc. to application
14 transmission algorithm suggestion of program module, for example, camera service module 18 is to using journey when the shake that gyroscope detects is larger
The algorithm suggestion that sequence module 14 is sent can be multi-frame processing, be shaken with being eliminated according to multi-frame processing；When AR scene detection results
When the scene type of detection is personage, camera service module 18 can be U.S. face to the algorithm suggestion that application program module 14 is sent
Processing, to carry out U.S. face to personage；When AR scene detection results detection scene type be landscape when, camera service module 18 to
The algorithm suggestion that application program module 14 is sent can be HDR processing, to form the landscape image of high dynamic range.Application program
Module 14 issues request of data to camera service module 18 according to frame number suggestion and algorithm suggestion.It is of course also possible to be that hardware is taken out
As module 12 is built according to sensitivity information, the jitter conditions of gyroscope, the acquisition frame number suggestion of AR scene detection results and/or algorithm
View, then frame number suggestion and/or algorithm suggestion are transmitted to application program module 14 by camera service module 18.
Referring to Fig. 2, application program module 14 includes that algorithm post-processes client 142, algorithm post-processing module 16 will be located
Image data after reason is transmitted to algorithm post-processing client 142.Algorithm post-processing module 16 can be used for after algorithm
Treated the image data of processing module 16 carries out post-processing of further taking pictures, such as algorithm post-processing module 16 carries out
It takes pictures post-processing (such as HDR processing, multi-frame processing etc.), algorithm post-processing client 142 carries out other and takes pictures post-processing
(such as U.S. face processing, filter processing, rotation processing, watermark processing, virtualization processing etc.), it is right in algorithm post-processing client 142
Image data take pictures after post-processing, and image data can be transmitted to display module (SurfaceFlinger) 30 and shown
Show.Certainly, when algorithm post-processing client 142 does not need take pictures to image and post-process, algorithm post-processes client 142
It can also directly will treated that image data is transmitted to display module 30 shows by algorithm post-processing module 16.Scheming
When picture data are dynamic image (such as video), display module 30 includes video encoding unit (media server) 32, video
Coding unit 32 is for encoding to form video image data.
If carrying out some post-processings of taking pictures (such as HDR processing, multi-frame processing etc.), algorithm in algorithm post-processing module 16
Post-processing client 142 carry out other take pictures post-processing (such as U.S. face processing, filter processing, rotation processing, at watermark
Reason, virtualization processing etc.), algorithm, which post-processes in client 142, can also be stored at least one image processing algorithm (for example including beauty
Face Processing Algorithm, filter Processing Algorithm, rotation processing algorithm, watermark processing algorithm, virtualization Processing Algorithm, HDR Processing Algorithm and
At least one of multi-frame processing algorithm), algorithm post-processing client 142 is also used to handle picture number using image processing algorithm
Post-processing of taking pictures is realized accordingly.After take pictures post-processing by algorithm post-processing client 142 and algorithm to image data
Processing module 16 is realized, only need to be in outside without doing process truncation on the algorithm framework of hardware abstraction layer 12 itself
Compatibility is done, design difficulty also greatly reduces.
Algorithm can be post-processed client by the image processing algorithm in algorithm post-processing module 16 in order to facilitate the use of the user
End 142 is made into a Software Development Kit (SDK), consequently facilitating third party develops.
The data communicated between application program module 14 and algorithm post-processing module 16 can also wrap other than image data
Include metadata, interactive information, picture material etc..Such as user clicks some area of the display interface of application program module 14
Domain, application program module 14 can be by interactive information such as the position in the region, the modes being clicked (for example click or double-click)
It is transmitted to algorithm post-processing module 16, so that algorithm post-processing module 16 can be run according to the interactive information.In another example
Algorithm post-processing module 16 obtains picture material (such as detecting face) by processing image data, then can be by image data
The middle information there are face is transferred to application program module 14, so that information can be informed user's (example by application program module 14
" there are faces " is such as shown by display interface).
In some embodiments, algorithm post-processing module 16 can directly by treated, image data be transmitted to display
Module 30 is shown.Specifically, application program module 14 can send control instruction to algorithm post-processing module 16, after algorithm
Processing module 16 according to control instruction selection be directly will treated image data is transmitted to display module 30 shown or
It is that image data is transmitted to application program module 14 by treated.In this way, biography of the algorithm post-processing module 16 to image data
Defeated mode is more diversified.
After imaging sensor 20 is once shot (exposure image), RAW image is transferred to hardware abstraction layer 12,
After algorithm post-processing module 16 receives image data (RAW image and/or YUV image) corresponding with RAW, imaging sensor 20
It is able to carry out shooting next time or imaging sensor 20 can close or application program module 14 can close or application program
Module 14 can exit application interface.Due to taking pictures, post-processing is realized by algorithm post-processing module 16, by photographed data
After being transferred to algorithm post-processing module 16, it is only necessary to which algorithm post-processing module 16 achieves that post-processing of taking pictures, and image passes at this time
Sensor 20 and application program module 14 can be not involved in post-processing of taking pictures, and therefore, imaging sensor 20 can be closed or be executed down
Application interface can be closed or be exited to primary shooting, application program module 14.In this way, filming apparatus 100 can be realized snap, and
And application program module 14 can be closed when algorithm post-processing module 16 take pictures and post-processes or exit Application Program Interface,
To carry out some other operations (such as operation unrelated with filming apparatus 100, for example browsing webpage, see on an electronic device
Video is made a phone call), so that user is not necessarily to devote a tremendous amount of time the completion for waiting post-processing of taking pictures, user-friendly electricity
Sub- equipment.
Algorithm post-processing module 16 may include coding unit 162, and coding unit 162 is used to YUV image being converted to JPG
Image (or jpeg image etc.).Specifically, algorithm post-processing module 14 processing be YUV image when, coding unit 162 can
Directly to be encoded YUV image to form JPG image, to improve the output speed of image.In algorithm post-processing module
14 processing be RAW image when, processing can be realized the RAW image for post-processing of taking pictures through using journey by algorithm post-processing module 14
Sequence module 14 is back to camera service module 18, then is back to hardware abstraction layer 12 by camera service module 18, such as return
Turn RGB processing unit 124 to RAW, RAW, which turns RGB processing unit 124, can be used for the processing of algorithm post-processing module 14 realizing bat
According to post-processing and the RAW image that returns through application program module 14 is converted to RGB image, noise reduction and YUV post-processing unit 126 can
RGB image is converted to YUV image, which can be re-transmitted to the coding unit 162 of algorithm post-processing module 16
In the YUV image is converted to JPG image.In some embodiments, algorithm post-processing module 14 can also be real by processing
The RAW image of post-processing of now taking pictures is back to camera service module 18 through application program module 14, then by camera service module 18
It is back to cache unit 122, the RAW image of passback turns RGB processing unit 124 and noise reduction and YUV post-processing unit by RAW
126 form YUV image, then are transmitted to coding unit 162 to form JPG image.In addition, algorithm post-processing module 14 can also be straight
It connects and processing is realized that the RAW image for post-processing of taking pictures is back to firmly through camera service module 18 (without application program module 14)
Part abstract module 12.After forming JPG image, algorithm post-processing module 16 can be used for JPG image transmitting into memory
It saves.
Referring to Fig. 3, algorithm post-processing module 16 includes logical process calling layer 164, algoritic module interface layer 166 and calculates
Method process layer 168.Logical process calling layer 164 with application program module 14 for communicating.Algoritic module interface layer 166 is for tieing up
Protect algorithm interface.Algorithm process layer 168 includes at least one image processing algorithm.Algoritic module interface layer 166 is for passing through calculation
Operation at least one of is registered, nullifies, calls and adjust back to method interface to the image processing algorithm of algorithm process layer 168.
Logical process calling layer 164 may include thread queue, algorithm post-processing module 16 receive RAW image and/or
After the post-processing task of taking pictures of YUV image, can will take pictures post-processes task buffer and handles in thread queue, wherein thread
Queue can cache multiple post-processing tasks of taking pictures, in this way, can realize snap (i.e. snap by logical process calling layer 164
Mechanism).In addition, logical process calling layer 164 also can receive the initialization (init) of the transmission of application program module 14, process
(process) instruction such as, and corresponding instruction and data is saved in thread queue.Logical process calling layer 164 is according to line
Task in journey queue carries out the calling of specific logic (i.e. specific logic calls combination).Logical process calling layer 164 can be with
The thumbnail (thumbnail) that processing obtains is returned into application program module 14 and is shown (i.e. thumbnail echo).At this
In the description of the embodiment of application, the meaning of " plurality " is two or more, unless otherwise specifically defined.
Algoritic module interface layer 166 is for calling algorithm interface, and call instruction can also be saved in thread queue, algorithm
Process layer 168 can parse the figure that the gain of parameter of call instruction needs to call in the call instruction for receiving thread queue
As Processing Algorithm.It, can be new in algorithm process layer 168 when algoritic module interface layer 166 registers image processing algorithm
Increase a kind of image processing algorithm；When algoritic module interface layer 166 is unregistered image processing algorithm, it can be handled with deletion algorithm
A kind of image processing algorithm in layer 168；When algoritic module interface layer 166 is called image processing algorithm, calculation can be called
A kind of image processing algorithm in method process layer 168；It, can be with when algoritic module interface layer 166 adjusts back image processing algorithm
By after algorithm process data and state return to application program module 14.Wherein it is possible to be realized at image using unified interface
The operation such as registration, cancellation, calling, readjustment of adjustment method.Each image processing algorithm in algorithm process layer 168 is all independent
, it so can be convenient and the operation such as registration realized to image processing algorithm, nullified, called, adjust back.
Referring to Fig. 4, in some embodiments, hardware abstraction layer 12 is directly connected to algorithm post-processing module 16,
Image data and metadata are directly transmitted to algorithm post-processing module 16 by hardware abstraction layer 12.It so, it is possible with shortest
Transmission path image data and metadata, to guarantee the real-time and high efficiency of data transmission.At this point, application program mould
Block 14 can be directly connected to hardware abstraction layer 12.When image processor 10 does not include camera service module 18, at image
The path of data (image data, metadata etc.) transmission in reason device 10 can be adaptively adjusted, i.e. hardware abstraction layer
12 can also can directly be led to direct communication, hardware abstraction layer 12 with application program module 14 with algorithm post-processing module 16
Letter.Such as image data and metadata are directly transmitted to algorithm post-processing module 16 by hardware abstraction layer 12.In another example hardware
Frame number suggestion and/or algorithm suggestion are directly sent to application program module 14 by abstract module 12, and application program module 14 is direct
Request of data is sent to hardware abstraction layer 12.In another example hardware abstraction layer can be also used for application program module 14 instead
Present the result of request of data.
Incorporated by reference to Fig. 2, hardware abstraction layer 12 and algorithm post-processing module 16 be can be set in user (vendor) subregion,
Application program module 14, camera service module 18 and display module 30 can be set in system (system) subregion.Wherein, user
Subregion and system partitioning can refer to the subregion of memory element.Since algorithm post-processing module 16 is arranged in user partition,
Enable to system partitioning not do big modifications and changes, and in system partitioning module (such as application program module 14,
Camera service module 18 or display module 30 etc.) carry out upgrading or other variation when, algorithm post-processing module 16 will not influence liter
Grade is normally carried out, and the module after upgrading will not interfere algorithm post-processing module 16.It is straight in hardware abstraction layer 12
It connects when image data and metadata are transmitted to algorithm post-processing module 16, since hardware abstraction layer 12 and algorithm post-process mould
The setting of block 16 communicates relatively convenient in same subregion, can be improved the efficiency of data transmission.
Fig. 5 and Fig. 6 are please referred to, electronic equipment 1000 includes the filming apparatus 100 and shell of any one of the above embodiment
Body 200, filming apparatus 100 are combined with shell 200.The installation that shell 200 can be used as the function element of electronic equipment 1000 carries
Body.Shell 200 can provide the protection such as dust-proof, shatter-resistant, waterproof for function element, and function element can be display screen, shooting dress
Set 100, receiver etc..Wherein, in one embodiment, shell 200 includes main body 210 and movable support 220, movable support
220 can move under the drive of the drive relative to main body 210, such as movable support 220 can be sliding relative to main 210 bodies
It is dynamic, to slide into main body 210 (such as state of Fig. 5) or skid off (such as state of Fig. 6) from main body 210.Partial function element can
To be mounted in main body 210, another part function element (such as filming apparatus 100) be may be mounted on movable support 220, can
The dynamic movement of bracket 220 can drive another part function element to retract in main body 210 or stretch out from main body 210.At another
In embodiment, acquisition window is offered on shell 200, filming apparatus 100 is directed at installation with acquisition window so that filming apparatus
100 can receive ambient by acquisition window to form image.
In the description of presently filed embodiment, it should be noted that unless otherwise clearly defined and limited, term
" installation " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can be
Mechanical connection is also possible to be electrically connected or can mutually communicate；It can be directly connected, the indirect phase of intermediary can also be passed through
Even, the connection inside two elements or the interaction relationship of two elements be can be.For those of ordinary skill in the art
For, concrete meaning of the above-mentioned term in presently filed embodiment can be understood as the case may be.
Fig. 1 and Fig. 7 are please referred to, image processing method includes:
01: hardware abstraction layer 12 transmits image data and metadata corresponding with image data；And
02: algorithm post-processing module 16 uses image processing algorithm and handles image data according to metadata and taken pictures with realizing
Post-processing.
The image processing method of embodiment of the present invention can be used for the image processor 10 of embodiment of the present invention, or
It says, the image processing method of embodiment of the present invention can be realized by the image processor 10 of embodiment of the present invention, wherein step
Rapid 01 can be realized by hardware abstraction layer 12, and step 02 can be realized by algorithm post-processing module 16.
Please refer to Fig. 1 and Fig. 8, image processing method further include:
03: camera service module 18 image data and metadata are packaged and by after encapsulation image data and first number
According to being transmitted to algorithm post-processing module 16.
Wherein, step 03 can be realized by camera service module 18.
Please refer to Fig. 1 and Fig. 9, image processing method further include:
04: application program module 14 initiates request of data to camera service module 18；
Step 03 includes:
032: camera service module 18 is packaged image data and metadata according to request of data and will be after encapsulation
Image data and metadata are transmitted to algorithm post-processing module 16.
Wherein, step 04 can be realized by application program module 14, and step 032 can be realized by camera service module 18.
Please refer to Fig. 1 and Figure 10, image processing method further include:
05: by treated, image data is transmitted to algorithm post-processing client 142 to algorithm post-processing module 16；
06: algorithm post-processes client 142, and to treated, image data is handled.
Wherein, step 05 can be realized by algorithm post-processing module 16, and step 06 can post-process client 142 by algorithm
It realizes.
Please refer to Fig. 2 and Figure 11, image processing method further include:
05: by treated, image data is transmitted to algorithm post-processing client 142 to algorithm post-processing module 16；
07: algorithm post-processing client 142 will treated that image data is transmitted to display module 30 shows.
Wherein, step 05 can be realized by algorithm post-processing module 16, and step 07 can post-process client 142 by algorithm
It realizes.
Please refer to Fig. 2 and Figure 12, image processing method further include:
08: algorithm post-processing module 16 will treated that image data is transmitted to display module 30 shows.
Wherein, step 08 can be realized by algorithm post-processing module 16.
To the explanation of image processor 10 in above embodiment, it is also applied for the image processing method of embodiment of the present invention
Method, details are not described herein.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be by the application
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processing module or other can be from instruction
Execute system, device or equipment instruction fetch and the system that executes instruction) use, or combine these instruction execution systems, device or
Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any may include, store, communicating, propagating or
Transfer program uses for instruction execution system, device or equipment or in conjunction with these instruction execution systems, device or equipment
Device.The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings
Electrical connection section (control method), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of presently filed embodiment can be with hardware, software, firmware or their combination come real
It is existing.In the above-described embodiment, multiple steps or method can be with storages in memory and by suitable instruction execution system
The software or firmware of execution is realized.For example, if realized with hardware, in another embodiment, ability can be used
Any one of following technology or their combination well known to domain is realized: being had for realizing logic function to data-signal
The discrete logic of logic gates, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
In addition, can integrate in a processing module in each functional unit in each embodiment of the application, it can also
To be that each unit physically exists alone, can also be integrated in two or more units in a module.It is above-mentioned integrated
Module both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module
If in the form of software function module realize and when sold or used as an independent product, also can store one calculating
In machine read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, the description of reference term " certain embodiments " etc. means in conjunction with the embodiment
Or specific features, structure or the feature of example description are contained at least one embodiment of the application.In this specification
In, schematic expression of the above terms are not necessarily referring to identical embodiment.Moreover, the specific features of description, structure
Or feature can be combined in any suitable manner in any one or more embodiments.
Although presently filed embodiment has been shown and described above, it is to be understood that above embodiment is
Illustratively, it should not be understood as the limitation to the application, those skilled in the art within the scope of application can be right
Above embodiment is changed, modifies, replacement and variant.
Claims (14)
1. a kind of image processor, which is characterized in that described image processor includes:
Hardware abstraction layer, the hardware abstraction layer are used for transmission image data and first number corresponding with described image data
According to；And
Algorithm post-processing module, the algorithm post-processing module are connect with the hardware abstraction layer, and the algorithm post-processes mould
At least one image processing algorithm is stored in block, the algorithm post-processing module is used for using described image Processing Algorithm and root
According to metadata processing described image data to realize post-processing of taking pictures.
2. image processor according to claim 1, which is characterized in that described image processor further includes application program mould
Block, the application program module is for being separately connected the hardware abstraction layer and the algorithm post-processing module.
3. image processor according to claim 2, which is characterized in that described image processor further includes camera service mould
Block, the algorithm post-processing module are connect by the camera service module with the hardware abstraction layer, the camera service
Module be used to be packaged described image data and the metadata and by after encapsulation described image data and first number
According to being transmitted to the algorithm post-processing module.
4. image processor according to claim 3, which is characterized in that the application program module and the camera service
Module connection, the application program module are used to initiate request of data, the camera service module to the camera service module
For being packaged according to the request of data to described image data and the metadata and by the described image number after encapsulation
The algorithm post-processing module is transmitted to according to the metadata.
5. image processor according to claim 2 or 3, which is characterized in that after the application program module includes algorithm
Client is handled, the algorithm post-processing module is for described image data to be transmitted to the algorithm post-processing visitor by treated
Family end；
Algorithm post-processing client is used for that described image data to handle or the algorithm post-processes visitor to treated
Family end is used for will treated that described image data are transmitted to display module shows.
6. image processor as claimed in any of claims 1 to 3, which is characterized in that the hardware abstraction layer
It is arranged with the algorithm post-processing module in user partition.
7. image processor as claimed in any of claims 1 to 3, which is characterized in that the algorithm post-processes mould
Block is used for will treated that described image data are transmitted to display module shows.
8. a kind of image processing method, which is characterized in that described image processing method includes:
Hardware abstraction layer transmits image data and metadata corresponding with described image data；And
Algorithm post-processing module uses image processing algorithm and handles described image data according to the metadata and taken pictures with realizing
Post-processing.
9. image processing method according to claim 8, which is characterized in that described image processing method further include:
Camera service module described image data and the metadata are packaged and by after encapsulation described image data and
The metadata is transmitted to algorithm post-processing module.
10. image processing method according to claim 9, which is characterized in that described image processing method further include:
Application program module initiates request of data to the camera service module；
The camera service module is packaged described image data and the metadata and by the described image number after encapsulation
According to the step of being transmitted to algorithm post-processing module with the metadata, comprising:
The camera service module is packaged described image data and the metadata according to the request of data and will envelope
Described image data and the metadata after dress are transmitted to the algorithm post-processing module.
11. image processing method according to claim 8, which is characterized in that described image processing method further include:
By treated, described image data are transmitted to algorithm post-processing client to the algorithm post-processing module；
To treated, described image data handle algorithm post-processing client or the algorithm post-processes client
It will treated that described image data are transmitted to display module shows.
12. image processing method according to claim 8, which is characterized in that described image processing method further include:
The algorithm post-processing module will treated that described image data are transmitted to display module shows.
13. a kind of filming apparatus, which is characterized in that the filming apparatus includes:
Image processor described in any one of claim 1 to 7；And
Imaging sensor, described image sensor are connect with described image processor.
14. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
Filming apparatus described in claim 13；And
Shell, the filming apparatus is in conjunction with the shell.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910285809.6A CN110062161B (en) | 2019-04-10 | 2019-04-10 | Image processor, image processing method, photographing device, and electronic apparatus |
| PCT/CN2020/079327 WO2020207192A1 (en) | 2019-04-10 | 2020-03-13 | Image processor, image processing method, photography apparatus, and electronic device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910285809.6A CN110062161B (en) | 2019-04-10 | 2019-04-10 | Image processor, image processing method, photographing device, and electronic apparatus |
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| CN110062161A true CN110062161A (en) | 2019-07-26 |
| CN110062161B CN110062161B (en) | 2021-06-25 |
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| CN110062161B (en) | 2021-06-25 |
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