CN108989805A - Image processing method and device based on WebP image compression algorithm - Google Patents
Image processing method and device based on WebP image compression algorithm Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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- H—ELECTRICITY
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/186—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
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- H—ELECTRICITY
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
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Abstract
The invention discloses a kind of image processing method based on WebP image compression algorithm, device, equipment and computer readable storage mediums, it include: the YUV image data for obtaining image to be processed, after the Y data channel of the YUV image data to be divided into the Y macro block of multiple default sizes, each Y macro block is divided into the sub-block of multiple default sizes；According to the dependence between sub-block in the Y macro block, the traversal order of sub-block in the Y macro block is recombinated；The sub-block in each Y macro block is handled according to the sub-block traversal order after recombination, to obtain the data processed result of each Y macro block in the Y data channel；Using the data processed result of each Y macro block in the Y data channel, the brightness value of described image to be detected is obtained.Image processing method, device, equipment and computer readable storage medium provided by the present invention, execute the sub-block in macro block can with flowing water, improve throughput performance of the Web graph as compression algorithm.
Description
Technical field
The present invention relates to technical field of image processing, more particularly to a kind of image based on WebP image compression algorithm
Processing method, device, equipment and computer readable storage medium.
Background technique
As the development of the image capture devices such as mobile phone, plate, digital camera and picture pixels scale are promoted, cause mutually
Networking image data scale exponentially increases.It recent studies have shown that, 2016 to 2021, number on data center server
Four times will be increased according to storage size, rise to 2.6ZB from 663EB, wherein most of data storage derives from image and video.
For example, Facebook user's uploading pictures scale in 2013 has surpassed 250,000,000,000, until 2015, Facebook increases closely daily
2000000000 images；According to Tencent's newest statistics in 2016, because QQ, wechat etc. are applied on Tencent's data center server, often
It increases 8,000,000,000 output image memories newly.This will bring serious challenge to the data storage of data center server and network bandwidth.
Due to current JPEG picture file format Coding Compression Algorithm optimization theoretically almost reached it is ultimate attainment, in order to
The size of image storage is reduced, it is often existing to substitute using the image file format WebP with higher compression ratio
Jpeg image file, compared with JPEG Lossy Compression Algorithm, WebP image Lossy Compression Algorithm can reduce 30% or so text
Part size.Code conversion, Neng Gouyou are carried out to jpeg file using WebP image compression algorithm on data center server
The pressure of effect alleviated picture scale and increase brought data center's storage and network bandwidth access.
But WebP image Lossy Compression Algorithm data handling procedure computation complexity is higher, to Y data channel and UV number
It is separately handled according to channel.UV data channel only needs to carry out the prediction, transformation, quantization, compressed encoding mistake of macro block rank
Journey.And the channel Y needs to predict each macro block rank, converts, quantifies, the process of compressed encoding, it is also necessary to each macro
Each sub-block in block carries out primary duplicate prediction, transformation, quantization, compression encoding process.At to Y data channel
When reason, firstly, being handled in macro block rank, the macro block data is predicted using macroblock boundaries, selects optimal macro block
Prediction mode obtains being compressed according to the residual values of optimal prediction modes computing macro block initial data and prediction data
The Image Residual data macro of coding；Secondly, utilizing DCT (Discrete Cosine Transform) transformation, WHT
(Walsh-Hadamard Transform) transformation, quantization step, the residual error coefficient after compression processing is calculated.In sub-block
When rank carries out the processing of Y data channel, individually prediction process is carried out for each sub-block, selects the optimal pre- of each sub-block
Survey mode calculates the residual values of each sub-block initial data and prediction data according to the optimal prediction modes of each sub-block；Its
Secondary, using dct transform, WHT transformation, quantization step, after each sub-block compression processing is calculated residual error coefficient.By right
Than the residual error coefficient obtained in macro block rank and sub-block level, optimal sub-block or macro-block skip mode are selected.If final choosing
What is selected is sub-block prediction mode, for each sub-block in Y macro block, requires individually to be predicted, to the residual of each sub-block
Poor coefficient carries out inverse quantization, DCT inverse transformation, WHT inverse transformation, boundary value needed for obtaining adjacent sub-blocks prediction.
When carrying out WebP algorithm based on OpenCL and realizing, such as it can only handle and could handle the 3rd after the 2nd Y macro block
A Y macro block could start the 4th Y macro block after having handled the 3rd Y macro block；And the sub-block process flow in Y data channel
It can only serially execute in this way, the assembly line that cannot achieve between sub-block executes, and causes overall throughput lower, algorithm performance can not
It improves.
In summary as can be seen that how to realize that flowing water execution is current problem to be solved between sub-block in Y macro block.
Summary of the invention
The object of the present invention is to provide a kind of image processing method based on WebP image compression algorithm, device, equipment with
And computer readable storage medium, it has solved to cannot achieve in macro block flowing water between sub-block when Webp algorithm execution in the prior art
The problem of execution.
In order to solve the above technical problems, the present invention provides a kind of image processing method based on WebP image compression algorithm,
Include: the YUV image data for obtaining image to be processed, the Y data channel of the YUV image data is divided into multiple default
After the Y macro block of size, each Y macro block is divided into the sub-block of multiple default sizes；According between sub-block in the Y macro block according to
The relationship of relying, recombinates the traversal order of sub-block in the Y macro block；It is macro to each Y according to the sub-block traversal order after recombination
Sub-block in block is handled, to obtain the data processed result of each Y macro block in the Y data channel；Utilize the Y
The data processed result of each Y macro block, obtains the brightness value of described image to be detected in data channel.
Preferably, the sub-block traversal order according to after recombination, which handle to the sub-block in each Y macro block, includes:
The dependence of the left margin of right margin and the second sub-block according to the first sub-block in the Y macro block completes institute
After the processing for stating the first sub-block, second sub-block is handled；After completing to the processing of second sub-block, to the Y
While the third sub-block of macro block is handled, the 4th sub-block of the Y macro block is handled；Wherein, it is macro to choose the Y
Public sub-block is as first sub-block in the left margin of block and coboundary；The left margin of second sub-block and described the
The right margin of one sub-block is adjacent；The left margin of the third sub-block is adjacent with the right margin of second sub-block；4th son
The coboundary of block is adjacent with the lower boundary of first sub-block.
Preferably, after the completion is to the processing of second sub-block, the third sub-block of the Y macro block is handled
While, include: after handling the 4th sub-block of the Y macro block
After the third sub-block is completed in processing, the 5th sub-block of the Y macro block is handled；The third sub-block
After the completion of processing with the 4th sub-block, the 6th sub-block of the Y macro block is handled；At the 6th sub-block
After the completion of reason, while the 7th sub-block and the 8th sub-block of the Y macro block are handled；Wherein, the left side of the 5th sub-block
Boundary is adjacent with the right margin of the third macro block, the left margin and the right margin phase of the 4th sub-block of the 6th sub-block
It is adjacent；The left margin of 7th sub-block is adjacent with the right margin of the 6th sub-block；The coboundary of 8th sub-block with it is described
The lower boundary of 4th sub-block is adjacent.
Preferably, after the completion of the processing to the 6th sub-block, while to the 7th sub-block and the 8th of the Y macro block
Sub-block includes: after being handled
After the 7th sub-block is completed in processing, the 9th sub-block and the tenth sub-block to the Y macro block are located simultaneously
Reason；After the completion of the tenth sub-block processing, the 11st sub-block and the 12nd sub-block to the Y macro block are handled simultaneously；It is right
Tridecyne and the 14th sub-block after the completion of the 11st sub-block processing, while to the Y macro block are handled simultaneously；
Wherein, the left margin of the 9th sub-block is adjacent with the right margin of the 7th macro block, the left margin of the tenth sub-block with
The right margin of 8th sub-block is adjacent；The left margin of 11st sub-block is adjacent with the right margin of the tenth sub-block；Institute
The coboundary for stating the 12nd sub-block is adjacent with the lower boundary of the 8th sub-block；The left margin of 13rd sub-block with it is described
The right margin of 11st sub-block is adjacent；The left margin of 14th sub-block and the right margin of the 12nd sub-block are adjacent.
Preferably, the YUV image data for obtaining image to be processed, by the Y data channel of the YUV image data
After being divided into the Y macro block of multiple default sizes, include: by the sub-block that each Y macro block is divided into multiple default sizes
It, will be every 16 × 16 in the Y data channel of the YUV image data after the YUV image data for obtaining image to be processed
A pixel Y data forms a Y macro block, wherein each Y macro block laterally accounts for 16 location of pixels, longitudinally accounts for 16 pixel positions
It sets；After the Y data channel to be divided into the Y macro block of multiple 16 × 16 sizes, each Y macro block is divided into 16 4 × 4 big
Small sub-block.
The present invention also provides a kind of image processing apparatus based on WebP image compression algorithm, comprising:
Module is obtained, the YUV image data of image to be processed are obtained, the Y data channel of the YUV image data is drawn
After being divided into the Y macro block of multiple default sizes, each Y macro block is divided into the sub-block of multiple default sizes；
Recombination module, for according to the dependence between sub-block in the Y macro block, to the traversal of sub-block in the Y macro block
Sequence is recombinated；
Processing module, for being handled according to the sub-block traversal order after recombination the sub-block in each Y macro block, from
And obtain the data processed result of each Y macro block in the Y data channel；
Computing module obtains described to be checked for the data processed result using each Y macro block in the Y data channel
The brightness value of altimetric image.
Preferably, the processing module is specifically used for:
The dependence of the left margin of right margin and the second sub-block according to the first sub-block in the Y macro block completes institute
After the processing for stating the first sub-block, second sub-block is handled；After completing to the processing of second sub-block, to the Y
While the third sub-block of macro block is handled, the 4th sub-block of the Y macro block is handled；Wherein, it is macro to choose the Y
Public sub-block is as first sub-block in the left margin of block and coboundary；The left margin of second sub-block and described the
The right margin of one sub-block is adjacent；The left margin of the third sub-block is adjacent with the right margin of second sub-block；4th son
The coboundary of block is adjacent with the lower boundary of first sub-block.
Preferably, after the completion is to the processing of second sub-block, the third sub-block of the Y macro block is handled
While, include: after handling the 4th sub-block of the Y macro block
After the third sub-block is completed in processing, the 5th sub-block of the Y macro block is handled；The third sub-block
After the completion of processing with the 4th sub-block, the 6th sub-block of the Y macro block is handled；At the 6th sub-block
After the completion of reason, while the 7th sub-block and the 8th sub-block of the Y macro block are handled；Wherein, the left side of the 5th sub-block
Boundary is adjacent with the right margin of the third macro block, the left margin and the right margin phase of the 4th sub-block of the 6th sub-block
It is adjacent；The left margin of 7th sub-block is adjacent with the right margin of the 6th sub-block；The coboundary of 8th sub-block with it is described
The lower boundary of 4th sub-block is adjacent.
The present invention also provides a kind of image processing equipments based on WebP image compression algorithm, comprising:
Memory, for storing computer program；Processor realizes above-mentioned one when for executing the computer program
The step of planting the image processing method based on WebP image compression algorithm.
The present invention also provides a kind of computer readable storage medium, it is stored on the computer readable storage medium
Computer program, the computer program realize a kind of above-mentioned figure based on WebP image compression algorithm when being executed by processor
As the step of processing method.
Image processing method provided by the present invention based on WebP image compression algorithm, obtains the YUV of image to be processed
After image data, after the Y data channel in the YUV image data to be divided into the Y macro block of multiple default sizes, by each Y
Macro block is divided into the sub-block of multiple default sizes.According to the dependence between sub-block in the Y macro block, to sub in the Y macro block
The traversal order of block is recombinated, and is handled according to the sub-block traversal order after recombination the sub-block in each Y macro block, from
And obtain the data processed result of each Y macro block in the Y data channel；Utilize each Y macro block in the Y data channel
Data processed result obtains the brightness value of described image to be detected.It is preferential to locate in image processing method provided by the present invention
Reason causes the sub-block of dependence to improve to make the sub-block in the Y macro block that can execute with flowing water to adjacent sub-blocks
Throughput performance of the Web graph as compression algorithm.
Detailed description of the invention
For the clearer technical solution for illustrating the embodiment of the present invention or the prior art, 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 invention without creative efforts, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is a kind of the first tool of image processing method based on WebP image compression algorithm provided by the present invention
The flow chart of body embodiment；
Fig. 2 is that second of the image processing method provided by the present invention based on WebP image compression algorithm is specific real
Apply the flow chart of example；
Fig. 3 is dependence schematic diagram of the sub-block data to data boundary；
Fig. 4 is the dependence schematic diagram in macro block between sub-block；
Fig. 5 is the practical traversal order schematic diagram of sub-block in macro block after the recombination of sub-block traversal order；
Fig. 6 is a kind of structure of the image processing apparatus based on WebP image compression algorithm provided in an embodiment of the present invention
Block diagram.
Specific embodiment
Core of the invention be to provide a kind of image processing method based on WebP image compression algorithm, device, equipment with
And computer readable storage medium, it execute the sub-block in macro block can with flowing water, improve Web graph handling up as compression algorithm
Rate performance.
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawing and specific embodiment party
The present invention is described in further detail for formula.Obviously, described embodiments are only a part of the embodiments of the present invention, and
The embodiment being not all of.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work
Under the premise of every other embodiment obtained, shall fall within the protection scope of the present invention.
Referring to FIG. 1, Fig. 1 is the of the image processing method provided by the present invention based on WebP image compression algorithm
A kind of flow chart of specific embodiment；Specific steps are as follows:
Step S101: obtaining the YUV image data of image to be processed, and the Y data channel of the YUV image data is drawn
After being divided into the Y macro block of multiple default sizes, each Y macro block is divided into the sub-block of multiple default sizes；
It, will be every 16 × 16 in the Y data channel of the YUV image data after the YUV image data for obtaining image to be processed
A pixel Y data forms a Y macro block, wherein each Y macro block laterally accounts for 16 location of pixels, longitudinally accounts for 16 pixel positions
It sets；It is unsatisfactory for the data of 16 integral multiples for image boundary, carries out polishing by the way of replicating boundary pixel.
After the Y data channel to be divided into the Y macro block of multiple 16 × 16 sizes, each Y macro block is divided into 16 4
The sub-block of × 4 sizes.Each sub-block laterally accounts for 4 location of pixels in image Y pixel macroblock data coordinates, and longitudinal coordinate accounts for
4 location of pixels, each Y macro block include 16 4 × 4 sub-blocks altogether.
Step S102: according to the dependence between sub-block in the Y macro block, to the traversal order of sub-block in the Y macro block
It is recombinated；
Step S103: being handled the sub-block in each Y macro block according to the sub-block traversal order after recombination, thus
The data processed result of each Y macro block into the Y data channel；
Step S104: using the data processed result of each Y macro block in the Y data channel, the mapping to be checked is obtained
The brightness value of picture.
Image processing method based on WebP image compression algorithm provided by the present embodiment, solves using OpenCL
When realizing the FPGA hardware circuit Mapping implementation of WebP image Lossy Compression Algorithm, can only serially it be executed between sub-block in macro block
Problem；By being recombinated to sub-block traversal order in macro block, when data boundary dependence executes program between alleviation sub-block
The influence of flowing water between sub-block, improves the assembly line execution performance of sub-block in macro block, so that improving FPGA isomery accelerates WebP figure
As the efficiency of compression algorithm.
Based on the above embodiment, in the present embodiment, according to the boundary dependence between sub-block in the Y macro block, to institute
The first sub-block in Y macro block is stated, after the second sub-block, processing while third sub-block and four sub-blocks may be implemented, please refer to figure
2, Fig. 2 be second of specific embodiment of the image processing method provided by the present invention based on WebP image compression algorithm
Flow chart；Specific steps are as follows:
Step S201: obtaining the YUV image data of image to be processed, and the Y data channel is divided into multiple 16 × 16
After the Y macro block of size, each Y macro block is divided into the sub-block of 16 4 × 4 sizes；
Step S202: the dependence of the left margin of the right margin and the second sub-block according to the first sub-block in the Y macro block is closed
System is handled second sub-block after the processing for completing first sub-block；
As shown in Figure 3 and Figure 4, Fig. 3 is dependence schematic diagram of the sub-block data to data boundary；Fig. 4 is son in macro block
Dependence schematic diagram between block；Sub-block index in original Y macro block is defined as y_sub [index], and y_sub [i] is indicated
When traversing to the sub-block in Y macro block, i-th of sub-block index value of processing is y_sub [i].Wherein index maximum value etc.
In 16, indicate to include 16 4 × 4 sub-blocks in Y macro block, sub-block order traversal mode in original Y macro block are as follows: y_sub_old
[i]={ 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16 }.
Step S203: after completing to the processing of second sub-block, the third sub-block of the Y macro block is handled
Meanwhile the 4th sub-block of the Y macro block is handled；
After recombination in macro block sub-block traversal order as shown in figure 5, sub-block number in Fig. 5 indicates after recombination son in Y macro block
The traversal order of block position.Sub-block public in the left margin and coboundary of the Y macro block is chosen as first sub-block；
The left margin of second sub-block is adjacent with the right margin of first sub-block；The left margin of the third sub-block and described the
The right margin of two sub-blocks is adjacent；The coboundary of 4th sub-block is adjacent with the lower boundary of first sub-block.
Step S204: after the third sub-block is completed in processing, the 5th sub-block of the Y macro block is handled；
Step S205: after the completion of the processing of the third sub-block and the 4th sub-block, to the 6th of the Y macro block the
Sub-block is handled；
Wherein, the left margin of the 5th sub-block is adjacent with the right margin of the third macro block, a left side for the 6th sub-block
Boundary is adjacent with the right margin of the 4th sub-block；The left margin and the right margin phase of the 6th sub-block of 7th sub-block
It is adjacent；The coboundary of 8th sub-block is adjacent with the lower boundary of the 4th sub-block.
Step S206: same to the 9th sub-block and the tenth sub-block of the Y macro block after the 7th sub-block is completed in processing
Shi Jinhang processing；
Step S207: after the completion of the tenth sub-block processing, to the 11st sub-block and the 12nd sub-block of the Y macro block
It is handled simultaneously；
Step S208: after the completion of the 11st sub-block processing, while to the tridecyne and the tenth of the Y macro block
Four sub-blocks are handled simultaneously；
Wherein, the left margin of the 9th sub-block is adjacent with the right margin of the 7th macro block, a left side for the tenth sub-block
Boundary is adjacent with the right margin of the 8th sub-block；The left margin of 11st sub-block and the right margin of the tenth sub-block
It is adjacent；The coboundary of 12nd sub-block is adjacent with the lower boundary of the 8th sub-block；The left margin of 13rd sub-block
It is adjacent with the right margin of the 11st sub-block；The left margin of 14th sub-block and the right margin of the 12nd sub-block
It is adjacent.
Step S209: after the processing for completing the 14th sub-block, successively the 15th sub-block and the 16th sub-block are carried out
Processing, to obtain the data processed result of the Y macro block；
Wherein, the left margin of the 15th sub-block is adjacent with the right margin of the 14th sub-block, the 16th son
The left margin of block is adjacent with the right margin of the 15th sub-block.
Step S210: obtaining the data processed result of each Y macro block in the Y data channel, after, utilize the Y data
The data processed result of each Y macro block, obtains the brightness value of described image to be detected in channel.
Sub-block time in the present embodiment, after 4 × 4 sub-block traversal orders carry out recombination mapping in Y macro block, in Y macro block
Go through sequence:
Y_sub_new [i]=y_sub_old [1,2,3], y_sub_old [5], y_sub_old [4],
y_sub_old[6,7],y_sub_old[9],y_sub_old[8],y_sub_old[10,11],
Y_sub_old [13], y_sub_old [12],? y_sub_old [14,15,16] }
Traversal order recombination is being carried out to 4 × 4 sub-block of image Y macro block data according to y_sub_new [i] mapping order,
After first three complete sub-block of serial process, so that it may realize that the flowing water between remaining sub-block executes, avoiding between all sub-blocks is all string
Row executes, and can be improved the performance of macro block processing on FPGA.
Image processing method based on WebP image compression algorithm provided by the present embodiment, by the son in Y macro block
Block traversal order carries out recombination mapping, can be realized the flowing water in Y macro block between sub-block and executes, between because of boundary sub-block in Y macro block
In macro block caused by data dependence relation between sub-block can only the poor efficiency of serial process improved, realize in macro block between sub-block
The flowing water for the treatment of process improves the throughput performance of WebP image compression algorithm.
Referring to FIG. 6, Fig. 6 is a kind of image procossing based on WebP image compression algorithm provided in an embodiment of the present invention
The structural block diagram of device；Specific device may include:
The image processing apparatus based on WebP image compression algorithm of the present embodiment is schemed for realizing above-mentioned based on WebP
As the image processing method of compression algorithm, therefore the specific implementation in the image processing apparatus based on WebP image compression algorithm
The embodiment part of the visible image processing method based on WebP image compression algorithm hereinbefore of mode, for example, obtaining module
100, recombination module 200, processing module 300, computing module 400 is respectively used to realize and above-mentioned be calculated based on WebP compression of images
Step S101, S102, S103 and S104 in the image processing method of method, so, specific embodiment is referred to accordingly
The description of various pieces embodiment, details are not described herein.
The specific embodiment of the invention additionally provides a kind of image processing equipment based on WebP image compression algorithm, comprising:
Memory, for storing computer program；Processor realizes that above-mentioned one kind is based on when for executing the computer program
The step of image processing method of WebP image compression algorithm.
The specific embodiment of the invention additionally provides a kind of computer readable storage medium, the computer-readable storage medium
Computer program is stored in matter, the computer program is realized above-mentioned a kind of based on WebP image pressure when being executed by processor
The step of image processing method of compression algorithm.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with its
The difference of its embodiment, same or similar part may refer to each other between each embodiment.For disclosed in embodiment
For device, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method
Part illustrates.
Professional further appreciates that, list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint item depending on technical solution
Part.Professional technician can use different methods to achieve the described function each specific application, but this
Realization should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly use hardware, processor
The combination of the software module or the two of execution is implemented.Software module can be placed in random access memory (RAM), memory, only
Read memory (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM,
Or in technical field well known to any other form of storage medium in.
Above to the image processing method provided by the present invention based on WebP image compression algorithm, device, equipment and
Computer readable storage medium is described in detail.Specific case used herein is to the principle of the present invention and embodiment party
Formula is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas.It should refer to
It out, for those skilled in the art, without departing from the principle of the present invention, can also be to this hair
Bright some improvement and modification can also be carried out, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.
Claims (10)
1. a kind of image processing method based on WebP image compression algorithm characterized by comprising
The Y data channel of the YUV image data is divided into multiple default big by the YUV image data for obtaining image to be processed
After small Y macro block, each Y macro block is divided into the sub-block of multiple default sizes；
According to the dependence between sub-block in the Y macro block, the traversal order of sub-block in the Y macro block is recombinated；
The sub-block in each Y macro block is handled according to the sub-block traversal order after recombination, to obtain the Y data channel
In each Y macro block data processed result；
Using the data processed result of each Y macro block in the Y data channel, the brightness value of described image to be detected is obtained.
2. image processing method as described in claim 1, which is characterized in that the sub-block traversal order pair according to after recombination
Sub-block in each Y macro block carries out processing
The dependence of the left margin of right margin and the second sub-block according to the first sub-block in the Y macro block completes described the
After the processing of one sub-block, second sub-block is handled；
It is macro to the Y while processing the third sub-block of the Y macro block after completing to the processing of second sub-block
4th sub-block of block is handled；
Wherein, sub-block public in the left margin and coboundary of the Y macro block is chosen as first sub-block；Second son
The left margin of block is adjacent with the right margin of first sub-block；The right of the left margin of the third sub-block and second sub-block
Boundary is adjacent；The coboundary of 4th sub-block is adjacent with the lower boundary of first sub-block.
3. image processing method as claimed in claim 2, which is characterized in that processing of the completion to second sub-block
Afterwards, while processing the third sub-block of the Y macro block, include: after handling the 4th sub-block of the Y macro block
After the third sub-block is completed in processing, the 5th sub-block of the Y macro block is handled；
After the completion of the processing of the third sub-block and the 4th sub-block, the 6th sub-block of the Y macro block is handled；
After the completion of the 6th sub-block processing, while the 7th sub-block and the 8th sub-block of the Y macro block are handled；
Wherein, the left margin of the 5th sub-block is adjacent with the right margin of the third macro block, the left margin of the 6th sub-block
It is adjacent with the right margin of the 4th sub-block；The left margin of 7th sub-block is adjacent with the right margin of the 6th sub-block；Institute
The coboundary for stating the 8th sub-block is adjacent with the lower boundary of the 4th sub-block.
4. image processing method as claimed in claim 3, which is characterized in that after the completion of the processing to the 6th sub-block,
Include: after handling simultaneously the 7th sub-block of the Y macro block and the 8th sub-block
After the 7th sub-block is completed in processing, the 9th sub-block and the tenth sub-block to the Y macro block are handled simultaneously；
After the completion of the tenth sub-block processing, the 11st sub-block and the 12nd sub-block to the Y macro block are handled simultaneously；
After the completion of the 11st sub-block processing, while the tridecyne and the 14th sub-block of the Y macro block are carried out simultaneously
Processing；
Wherein, the left margin of the 9th sub-block is adjacent with the right margin of the 7th macro block, the left margin of the tenth sub-block
It is adjacent with the right margin of the 8th sub-block；The left margin of 11st sub-block is adjacent with the right margin of the tenth sub-block；
The coboundary of 12nd sub-block is adjacent with the lower boundary of the 8th sub-block；The left margin of 13rd sub-block with it is described
The right margin of 11st sub-block is adjacent；The left margin of 14th sub-block and the right margin of the 12nd sub-block are adjacent.
5. image processing method as described in claim 1, which is characterized in that the YUV image number for obtaining image to be processed
According to after the Y data channel of the YUV image data to be divided into the Y macro block of multiple default sizes, each Y macro block is divided into
The sub-block of multiple default sizes includes:
After the YUV image data for obtaining image to be processed, by 16 × 16 pictures every in the Y data channel of the YUV image data
Plain Y data forms a Y macro block, wherein each Y macro block laterally accounts for 16 location of pixels, longitudinally accounts for 16 location of pixels；
After the Y data channel to be divided into the Y macro block of multiple 16 × 16 sizes, each Y macro block is divided into 16 4 × 4 big
Small sub-block.
6. a kind of image processing apparatus based on WebP image compression algorithm characterized by comprising
Module is obtained, the YUV image data of image to be processed is obtained, the Y data channel of the YUV image data is divided into more
After the Y macro block of a default size, each Y macro block is divided into the sub-block of multiple default sizes；
Recombination module, for according to the dependence between sub-block in the Y macro block, to the traversal order of sub-block in the Y macro block
It is recombinated；
Processing module, for being handled according to the sub-block traversal order after recombination the sub-block in each Y macro block, to obtain
The data processed result of each Y macro block in the Y data channel；
Computing module obtains the mapping to be checked for the data processed result using each Y macro block in the Y data channel
The brightness value of picture.
7. image processing apparatus as claimed in claim 6, which is characterized in that the processing module is specifically used for:
The dependence of the left margin of right margin and the second sub-block according to the first sub-block in the Y macro block completes described the
After the processing of one sub-block, second sub-block is handled；
It is macro to the Y while processing the third sub-block of the Y macro block after completing to the processing of second sub-block
4th sub-block of block is handled；
Wherein, sub-block public in the left margin and coboundary of the Y macro block is chosen as first sub-block；Second son
The left margin of block is adjacent with the right margin of first sub-block；The right of the left margin of the third sub-block and second sub-block
Boundary is adjacent；The coboundary of 4th sub-block is adjacent with the lower boundary of first sub-block.
8. image processing apparatus as claimed in claim 7, which is characterized in that processing of the completion to second sub-block
Afterwards, while processing the third sub-block of the Y macro block, include: after handling the 4th sub-block of the Y macro block
After the third sub-block is completed in processing, the 5th sub-block of the Y macro block is handled；
After the completion of the processing of the third sub-block and the 4th sub-block, the 6th sub-block of the Y macro block is handled；
After the completion of the 6th sub-block processing, while the 7th sub-block and the 8th sub-block of the Y macro block are handled；
Wherein, the left margin of the 5th sub-block is adjacent with the right margin of the third macro block, the left margin of the 6th sub-block
It is adjacent with the right margin of the 4th sub-block；The left margin of 7th sub-block is adjacent with the right margin of the 6th sub-block；Institute
The coboundary for stating the 8th sub-block is adjacent with the lower boundary of the 4th sub-block.
9. a kind of image processing equipment based on WebP image compression algorithm characterized by comprising
Memory, for storing computer program；
Processor is realized a kind of based on WebP figure as described in any one of claim 1 to 5 when for executing the computer program
As compression algorithm image processing method the step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program is realized a kind of based on WebP image as described in any one of claim 1 to 5 when the computer program is executed by processor
The step of image processing method of compression algorithm.
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