CN106251373A - A kind of single width color image compression coded method merging super-resolution technique and JPEG2000 standard - Google Patents
A kind of single width color image compression coded method merging super-resolution technique and JPEG2000 standard Download PDFInfo
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T3/00—Geometric image transformations in the plane of the image
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Abstract
The invention discloses a kind of single width color image compression coded method merging super-resolution technique and JPEG2000 standard.Mainly comprise the steps that and first determine coding mode flag bit α, if in low bit-rate section, the most first image is carried out down-sampling and JPEG2000 encoding and decoding, obtain compression down-sampled images, again it is carried out specific aim YUV triple channel dictionary to rebuild, it is initial high-resolution image that triple channel is rebuild image co-registration, then with specific aim YUV triple channel residual error dictionary, it is carried out high-frequency information compensation, it is thus achieved that finally decode image in low bit-rate section；If in middle high code check section, then image is directly carried out JPEG2000 encoding and decoding, then carries out the reconstruction of specific aim YUV triple channel dictionary, then image down sampling will be rebuild to original resolution size, it is thus achieved that finally decode image in middle high code check section.No matter the present invention compares JPEG2000 in low bit-rate section or in middle high code check section, and when identical decoded image quality, needed for the present invention, code check is lower；When same code rate, the present invention decodes image more preferable subjective vision effect.
Description
Technical field
The present invention relates to image sparse and represent super-resolution rebuilding algorithm and Image Compression Coding Technology, be specifically related to one
Merge super-resolution technique and the single width color image compression coded method of JPEG2000 standard, belong to field of picture communication.
Background technology
Research shows, most information that the mankind obtain in daily life come from visual information, and this is owing to regarding
Visual information have directly perceived, vivid, the feature such as should be readily appreciated that.In recent years, along with the fast development of computer science and technology, at image
Reason technology have also been obtained and is widely applied, and at satellite remote sensing observation, medical diagnosis, military technology, intelligent monitoring, Astronomical application
And the every field such as bio information Intelligent Recognition serves the most important effect.It is raw that image and video information become the mankind
One of element the most indispensable in work, for the demand to high quality information, promotes the mankind to march toward the ultra high-definition epoch.
Ultra high-definition epoch image and video information data amount are big, are generally required for being compressed encoding and decoding and process.Existing
International community's main flow encoding and decoding standard is more, be wherein applicable to the standard of still image compression encoding and decoding mainly have JPEG and
JPEG2000 etc., it is adaptable to the standard of video compression coding-decoding mainly have H.264 with HEVC etc., various compression coding and decoding standards
One of core technology is exactly image conversion.Through technical research from one generation to the next and development, image transform coding method is
Develop more ripe.
Under such technical background, the Research Significance of the present invention is to utilize the limited network bandwidth, obtains high-quality
Image information, i.e. utilize limited data volume to obtain the image comprising more details information.Due to current image transition coding
Method has developed more ripe, and continuing to bring out of new technique inspires us by super-resolution technique and compression of images use in conjunction
And build compressed encoding framework, to obtain good picture quality.
Summary of the invention
A kind of single width color image compression coding merging super-resolution technique and JPEG2000 standard that the present invention proposes
Method, the method by improve super complete dictionary training method so that gained high-resolution and low-resolution dictionary has specific aim, by
The super-resolution rebuilding algorithm represented based on image sparse can be applied in Image Compression Coding Technology by this.Wide relative to using
The compression algorithms such as general JPEG2000, this method shows the most superior compressed encoding performance.In identical decoded image quality
Time, the present invention design compression scheme needed for code check lower；When same code rate, gained of the present invention decoding image has preferably
Subjective vision effect.
The present invention proposes a kind of single width color image compression coding staff merging super-resolution technique and JPEG2000 standard
Method, mainly includes following operating procedure:
(1) to pending image, select its be low bit-rate section or in high code check section processes, it is thus achieved that coding mould
Formula mark α；
(2) according to coding mode flag bit α, if in low bit-rate section, first input picture is carried out under down-sampling, and general
Sampled images carries out JPEG2000 standard encoding and decoding, obtains the down-sampled images of compression；At yuv space, adopt under after compression
Sampled images carries out specific aim YUV triple channel dictionary and rebuilds, and the image co-registration that triple channel is rebuild is a width initial high-resolution image；
Use specific aim YUV triple channel residual error dictionary that initial high-resolution image is carried out high-frequency information compensation, result is gone back to
Rgb space, it is thus achieved that at the decoding image that low bit-rate section is final；
(3) according to coding mode flag bit α, if in middle high code check section, then original image to be compressed directly being carried out
JPEG2000 standard encoding and decoding, then the image after compression is carried out the reconstruction of specific aim YUV triple channel dictionary；To the image after rebuilding
Carry out down-sampling operation, return to original resolution size, it is thus achieved that at the decoding image that middle high code check section is final.
Accompanying drawing explanation
Fig. 1 is the compaction coding method block diagram of the present invention
Fig. 2 is the present invention and JPEG2000 compression algorithm to ' Boat ' test image at the distortion performance ratio of low bit-rate section
Relatively
Fig. 3 is the present invention and JPEG2000 compression algorithm to ' Boat ' test image in the disconnected distortion performance of middle high code check
Relatively
Fig. 4 is when low bit-rate section and code check are all 0.48bpp, ' Boat ' decoding image of the present invention and JPEG2000
Visual effect compares: figure (a) is original image, and figure (b) is that JPEG2000 decodes image, and figure (c) is that the present invention decodes image
Fig. 5 is when middle high code check section and code check are all 1.20bpp, ' Boat ' decoding image of the present invention and JPEG2000
Visual effect compare: figure (a) is left for original image, and figure (b) is that JPEG2000 decodes image, and figure (c) is decoding figure of the present invention
Picture
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings:
In Fig. 1, a kind of single width color image compression coded method merging super-resolution technique and JPEG2000 standard, bag
Include following steps:
(1) to pending image, select its be low bit-rate section or in high code check section processes, it is thus achieved that coding mould
Formula flag bit α；
(2) according to coding mode flag bit α, if in low bit-rate section, first input picture is carried out under down-sampling, and general
Sampled images carries out JPEG2000 standard encoding and decoding, obtains the down-sampled images of compression；At yuv space, adopt under after compression
Sampled images carries out specific aim YUV triple channel dictionary and rebuilds, and the image co-registration that triple channel is rebuild is a width initial high-resolution image；
Use specific aim YUV triple channel residual error dictionary that initial high-resolution image is carried out high-frequency information compensation, result is gone back to
Rgb space, it is thus achieved that at the decoding image that low bit-rate section is final；
(3) according to coding mode flag bit α, if in middle high code check section, then original image to be compressed directly being carried out
JPEG2000 standard encoding and decoding, then the image after compression is carried out the reconstruction of specific aim YUV triple channel dictionary；To the image after rebuilding
Carry out down-sampling operation, return to original resolution size, it is thus achieved that at the decoding image that middle high code check section is final.
Specifically, in described step (1), first according to the suitable coding framework of code rate selection, it is thus achieved that coding mode mark
Position α, and definition α=0, then select the coding framework in low bit-rate section；α=1, then select the coding framework in middle high code check section.
And coding mode flag bit α is encoded in code stream, it is transferred to decoding end, in order to decoding and subsequent operation.
In described step (2), if α=0, then in low bit-rate section, the thinking using sampling to rebuild again is compressed coding.First
First input pending image, it is carried out bicubic down-sampling, then use JPEG2000 standard that it is carried out encoding and decoding.
In described step (2), compression down-sampled images is rebuild through specific aim YUV triple channel dictionary, and triple channel is rebuild
Image co-registration is a width initial high-resolution image.First this algorithm carries out down-sampling, JPEG2000 to the image in training storehouse
Coding-decoding operation, then YUV triple channel carries out dictionary training targetedly respectively, utilizes training gained high-resolution and low-resolution dictionary
Compression down-sampled images is carried out super-resolution rebuilding, so can effectively make up the height brought in down-sampling and cataloged procedure
Frequently information dropout.Specific aim YUV triple channel dictionary training process is specific as follows: carry out down-sampling to all training storehouses image is unified
Operation, then carries out JPEG2000 standard encoding and decoding；Compression down-sampled images is carried out Denoising disposal, removes encoding-decoding process
The quantizing noise of middle generation, then carries out interpolation to the compression down-sampled images after all removal noises, obtains super complete dictionary
Low-frequency information needed for training；Training storehouse original image and interpolation image subtract each other the high-frequency information obtained needed for dictionary training, height,
Low-frequency information utilizes K-SVD algorithm to carry out joint training to obtain high-resolution and low-resolution dictionary pair.
In described step (2), use specific aim residual error dictionary that initial reconstructed image is carried out high-frequency information compensation, obtain
The decoding image that low bit-rate section is final.The training process of specific aim YUV triple channel residual error dictionary is specific as follows: owning of training storehouse
Image is unified carries out down-sampling operation, then carries out JPEG2000 standard encoding and decoding, the down-sampling training storehouse image system after compression
One carries out Denoising disposal, removes the quantizing noise produced in encoding-decoding process, retains sampled image information as much as possible,
Obtaining the compression down-sampling training storehouse image after removing noise, then it is carried out bicubic interpolation operation, it is low that interpolation obtains
Frequently frame reconstructs high-frequency information image by specific aim YUV triple channel dictionary, and high-frequency information mutually melts with low-frequency information
Close and i.e. can get initial sparse reconstruction training storehouse image；Initial sparse is rebuild training storehouse image as YUV triple channel residual error word
Low-frequency information needed for allusion quotation training, rebuilds, with initial sparse, the training storehouse image subtraction obtained by training storehouse original image and obtains
High-frequency information needed for YUV triple channel residual error dictionary training, high and low frequency Information Pull K-SVD algorithm carries out joint training and obtains
High-resolution and low-resolution residual error dictionary pair.
In described step (3), if α=1, then in middle high code check section, first input image to be compressed, image is directly carried out
JPEG2000 standard encoding and decoding, obtain decoded compression image；Then decoded compression image is carried out YUV targetedly
Triple channel dictionary is rebuild, then carries out corresponding down-sampling operation to rebuilding image, returns to original resolution size, it is thus achieved that
The decoding image that middle high code check section is final.Specific aim YUV triple channel dictionary training process is specific as follows: to all training storehouses image
Directly carry out JPEG2000 standard encoding and decoding, the decoding image after being compressed, then goes the decoding image after compression
Noise processed, removes the quantizing noise produced in encoding-decoding process, obtains the low-frequency information needed for super complete dictionary training；Training
Compression image subtraction after storehouse original image and removal noise obtains the high-frequency information needed for dictionary training, high and low frequency information profit
Carry out joint training with K-SVD algorithm and obtain high-resolution and low-resolution dictionary pair.
In order to effectiveness of the invention is better described, the mode using contrast experiment is carried out rebuilding effect exhibition by the present invention
Showing, choosing " Boat " image is test image, and such as Fig. 4 (a), 5 (a) is shown.By above-mentioned steps, it is tested, and exist respectively
The distortion performance of low bit-rate section and middle high code check section and JPEG2000 standard comparing image and visual effect.
Contrast experiment's content is as follows:
In low bit-rate section, with the present invention and JPEG2000, " Boat " image is tested respectively, JPEG2000 and this
Bright final decoding image is respectively such as Fig. 4 (b), shown in 4 (c), needed for its objective evaluation index PSNR, present invention code check and
Needed for JPEG2000 standard, code check is as shown in Table 1, and the present invention and JPEG2000 standard are bent for the rate distortion of " Boat " image
Line is as shown in Figure 2.
In middle high code check section, with the present invention and JPEG2000, " Boat " image is tested respectively, JPEG2000 and basis
Invention final decoding image is respectively such as Fig. 5 (b), and 5 (c) is shown, needed for its objective evaluation index PSNR, present invention code check and
Needed for JPEG2000 standard, code check is as shown in Table 1, and the present invention and JPEG2000 standard are bent for the rate distortion of " Boat " image
Line is as shown in Figure 3.
Table one gives final objective evaluation parameter PSNR decoding image of the present invention and JPEG2000 standard, Yi Jiben
Total bitrate needed for invention and JPEG2000 standard, in order to compare the performance of two kinds of algorithms.
Table one
As can be seen from Table I, the present invention compares JPEG2000 standard and has higher objective parameter value, and institute of the present invention
Needing total bitrate lower, compression ratio promotes substantially.
In sum, the present invention either low bit-rate section or in high code check section be superior to JPEG2000 standard compile solve
Code, gained finally decodes image and either compares JPEG2000 standard in subjective vision effect or objective evaluation parameter and all have
Bigger lifting, and lot of experimental data shows, the stability of the present invention is the strongest, has universality for other natural images.
Therefore, the present invention is a kind of effective compaction coding method.
Claims (5)
1. the single width color image compression coded method merging super-resolution technique and JPEG2000 standard, it is characterised in that
Comprise the following steps:
Step one: to pending image, select its be low bit-rate section or in high code check section processes, it is thus achieved that coding mould
Formula flag bit α；
Step 2: according to coding mode flag bit α, if in low bit-rate section, is first carried out input picture under down-sampling, and general
Sampled images carries out JPEG2000 standard encoding and decoding, obtains the down-sampled images of compression；At yuv space, adopt under after compression
Sampled images carries out specific aim YUV triple channel dictionary and rebuilds, and the image co-registration that triple channel is rebuild is a width initial high-resolution image；
Use specific aim YUV triple channel residual error dictionary that initial high-resolution image is carried out high-frequency information compensation, result is gone back to
Rgb space, it is thus achieved that at the decoding image that low bit-rate section is final；
Step 3: according to coding mode flag bit α, if in middle high code check section, then directly carrying out original image to be compressed
JPEG2000 standard encoding and decoding, then the image after compression is carried out the reconstruction of specific aim YUV triple channel dictionary；To the image after rebuilding
Carry out down-sampling operation, return to original resolution size, it is thus achieved that at the decoding image that middle high code check section is final.
The single width color image compression coding of fusion super-resolution technique the most according to claim 1 and JPEG2000 standard
Method, it is characterised in that the system of selection of the coding framework described in step one, according to the suitable coding framework of code rate selection so that
The present invention can obtain more more preferable distortion performance than JPEG2000 in low bit-rate section and middle high code check section, final decoding image
Compare JPEG2000 and there is more preferable subjective vision effect, and definition coding mode flag bit α, if α=0, then select at low code
The coding framework of rate section, if α=1, then selects the coding framework in middle high code check section.
The single width color image compression coding of fusion super-resolution technique the most according to claim 1 and JPEG2000 standard
Method, it is characterised in that the specific aim YUV triple channel dictionary training algorithm described in step 2, the main thought of this algorithm is root
According to the formation feature of compression low-resolution image, training storehouse image is carried out corresponding down-sampling and JPEG2000 compression is compiled and solved
Code processes, then carries out super complete dictionary training so that dictionary training has specific aim, owing to coloured image has YUV triple channel, because of
This carries out super complete dictionary training respectively to triple channel, can effectively promote the reconstruction effect of compression down-sampled images.
The single width color image compression coding of fusion super-resolution technique the most according to claim 1 and JPEG2000 standard
Method, it is characterised in that the specific aim YUV triple channel residual error dictionary training algorithm described in step 2, owing to original image is with just
Starting weight is built still has more residual information not utilized between image, therefore, original image and initial reconstructed image are subtracted each other gained
To residual information carry out the triple channel dictionary training of specific aim YUV, utilize training gained residual error dictionary that initial reconstructed image is entered
Row high-frequency information compensates, and can effectively make up the high-frequency information brought in down-sampling and JPEG2000 cataloged procedure and lose.
The single width color image compression coding of fusion super-resolution technique the most according to claim 1 and JPEG2000 standard
Method, it is characterised in that the reconstruction re-sampling compressed encoding thinking described in step 3, in middle high code check section, first direct to image
Carry out JPEG2000 encoding and decoding, then use specific aim YUV triple channel dictionary that compression image is carried out super-resolution rebuilding, more right
Reconstruction image down sampling, to original resolution size, rebuilds the compressed encoding thinking of re-sampling, then can avoiding samples rebuilds again
Compressed encoding thinking in the too much high-frequency information of down-sampling process losses, introduce more when super-resolution rebuilding simultaneously
External information, makes up the information dropout that compressed encoding brings, and the most additionally increases data volume, and compression efficiency promotes substantially.
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