CN109451323A - A kind of lossless image coding method and device - Google Patents
A kind of lossless image coding method and device Download PDFInfo
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- CN109451323A CN109451323A CN201811534169.XA CN201811534169A CN109451323A CN 109451323 A CN109451323 A CN 109451323A CN 201811534169 A CN201811534169 A CN 201811534169A CN 109451323 A CN109451323 A CN 109451323A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a kind of lossless image coding method and devices, this method comprises: step S1, carries out down-sampling to original image to be encoded, obtain low-resolution image；Step S2 carries out low-resolution image to damage pattern-coding, and acquisition damages pattern-coding result；Step S3 is obtained reconstruct low-resolution image according to pattern-coding result is damaged, the difference image of reconstruct low-resolution image and low-resolution image is encoded using lossless compression tool, obtains low resolution difference image coding result；Step S4, up-samples low-resolution image, obtains up-sampling image；Step S5 obtains high-resolution difference image coding result using the difference image of lossless file tool of compression coding original image and up-sampling image；Step S6 would detract from pattern-coding result, low resolution difference image coding result, coded data of the high-resolution difference image coding result as the original image.
Description
Technical field
The present invention relates to digital image compression technical fields, more particularly to a kind of lossless image coding method and device.
Background technique
Digital image compression coding is a very important technology, is had to the transimission and storage of digital picture very heavy
The meaning wanted.However, most image compression encoding method, such as JPEG, it damages, although being suitble to most of applied fields
It closes, but with advances in technology, to some special applications, such as medical image, lossless coding method is needed, with complete
Whole preservation information.
Also there are some lossless compression tools, such as zip, rar etc. at present, primarily directed to various on computer
File can also be used to compression image, but it is very low for the compression efficiency of image.
JPEG2000 supports lossless compression mode, would detract within coding and lossless coding unification a to frame system,
Therefore it may be implemented from damaging lossless progressive transmission.However in a network environment, the lossless coding file of JPEG2000 is but
Have the defects that inflexible, such as cannot function as lossy coding file during progressive transmission and directly save.
Summary of the invention
In order to overcome the deficiencies of the above existing technologies, purpose of the present invention is to provide a kind of lossless image coding methods
And device, to damage pattern-coding (such as JPEG20000) and lossless file tool of compression (such as WINRAR) in fact by utilizing
The lossless compression-encoding and progressive transmission of existing image, and can directly be saved during progressive transmission and damage image data,
It does not need to recompile.
In view of the above and other objects, the present invention proposes a kind of lossless image coding method, include the following steps:
Step S1 carries out down-sampling to original image P0 to be encoded, obtains a low-resolution image P1；
Step S2 carries out the low-resolution image P1 to damage pattern-coding, and acquisition damages pattern-coding result；
Step S3 obtains reconstruct low-resolution image according to the pattern-coding result that damages, utilizes lossless compression tool
The difference image for encoding the reconstruct low-resolution image and low-resolution image P1 obtains low resolution difference image coding knot
Fruit；
Step S4 up-samples the low-resolution image P1, obtains a resolution ratio and the original image P0
Identical up-sampling image P0R；
Step S5 encodes the difference of the original image P0 and the up-sampling image P0R using lossless file tool of compression
Partial image obtains high-resolution difference image coding result；
Step S6 damages pattern-coding result, low resolution difference image coding result, high-resolution difference diagram for described
Coded data as coding result as the original image P0.
Preferably, in step S1, to original image P0 down-sampling to be encoded, a horizontal and vertical resolution ratio is obtained
It is all the low-resolution image P1 of original image half.
Preferably, in step S2, low-resolution image P1 described in pattern-coding is damaged using JPEG2000, is obtained described
Damage pattern-coding result.
Preferably, step S3 further comprises:
Step S300 is decoded the pattern-coding result that damages, and obtains reconstruct low-resolution image P1R；
Step S301 calculates the low-resolution image P1 and reconstructs the difference image P1D of low-resolution image P1R；
Step S302 encodes the difference image P1D using lossless file tool of compression, obtains the low resolution difference
Image coding result.
Preferably, in step S300, using JPEG2000 decode described in damage pattern-coding as a result, obtaining the reconstruct
Low-resolution image P1R.
Preferably, in step S302, the lossless file tool of compression include but is not limited to WINRAR, WINZIP and
7-ZIP。
Preferably, step S5 further comprises:
Step S500 calculates the difference image of the original image P0 and the up-sampling image P0R；
Step S501 encodes the difference image P0D using lossless file tool of compression, obtains the high-resolution difference
Image coding result.
Preferably, the lossless file tool of compression includes but is not limited to WINRAR, WINZIP and 7-ZIP.
In order to achieve the above objectives, the present invention also provides a kind of lossless image code devices, comprising:
Downsampling unit obtains a low-resolution image P1 for carrying out down-sampling to original image P0 to be encoded；
Mode encoding unit is damaged, damages pattern-coding for carrying out to the low-resolution image P1, acquisition damages mould
Formula coding result；
Low resolution difference image coding unit obtains reconstruct low resolution for damaging pattern-coding result according to
Image is encoded the difference image of the reconstruct low-resolution image and low-resolution image P1 using lossless compression tool, obtained
Low resolution difference image coding result；
Up-sampling unit obtains a resolution ratio and the original for up-sampling to the low-resolution image P1
The identical up-sampling image P0R of beginning image P0；
High-resolution difference image coding unit, for using lossless file tool of compression encode the original image P0 with
The difference image of the up-sampling image P0R, obtains high-resolution difference image coding result；
Original image coding unit, for by it is described damage pattern-coding result, low resolution difference image coding result,
Coded data of the high-resolution difference image coding result as the original image P0.
Preferably, the low resolution difference image coding unit further comprises:
Decoding unit obtains reconstruct low-resolution image for being decoded to the pattern-coding result that damages；
Low resolution difference image computing unit, for calculating low-resolution image P1 and reconstruct low-resolution image P1R
Difference image P1D；
First lossless encoding unit obtains described for encoding the difference image P1D using lossless file tool of compression
Low resolution difference image coding result.
Compared with prior art, a kind of lossless image coding method of the present invention and device combine damage pattern-coding (such as
JPEG2000) and the advantages of lossless file tool of compression (such as WINRAR), using damaging pattern-coding (such as JPEG2000)
The lossless compression-encoding and progressive transmission of image are realized with lossless file tool of compression (such as WINRAR), and in progressive transmission
It can directly save in the process and damage image data, not need to recompile.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of lossless image coding method of the present invention；
Fig. 2 is a kind of system construction drawing of lossless image code device of the present invention；
Fig. 3 is the process schematic of lossless image coding in the specific embodiment of the invention.
Specific embodiment
Below by way of specific specific example and embodiments of the present invention are described with reference to the drawings, those skilled in the art can
Understand further advantage and effect of the invention easily by content disclosed in the present specification.The present invention can also pass through other differences
Specific example implemented or applied, details in this specification can also be based on different perspectives and applications, without departing substantially from
Various modifications and change are carried out under spirit of the invention.
Fig. 1 is a kind of step flow chart of lossless image coding method of the present invention.As shown in Figure 1, the present invention is a kind of lossless
Image encoding method includes the following steps:
Step S1 carries out down-sampling to original image P0 to be encoded, obtains a low-resolution image P1.In the present invention
In specific embodiment, by original image (being denoted as P0) down-sampling to be encoded, it is all former for obtaining a horizontal and vertical resolution ratio
The low-resolution image (being denoted as P1) of beginning image half.
Step S2 carries out the low-resolution image P1 to damage pattern-coding, and acquisition damages pattern-coding result.At this
In invention specific embodiment, pattern-coding P1 is damaged using JPEG2000, the file of an entitled .JP2 of extension is obtained, is denoted as
F1.JP2。
Step S3 is obtained reconstruct low-resolution image according to pattern-coding result is damaged, is encoded using lossless compression tool
The difference image of the reconstruct low-resolution image and low-resolution image P1, obtains low resolution difference image coding result.
Specifically, step S3 further comprises:
Step S300 is decoded to pattern-coding result F1.JP2 is damaged, and is obtained reconstruct low-resolution image, is denoted as
P1R correspondingly damages pattern-coding result F1.JP2 using JPEG2000 decoding, obtains reconstruct low-resolution image P1R；
Step S301 calculates low-resolution image P1 and reconstructs the difference image of low-resolution image P1R, is denoted as P1D；
Step S302 encodes the difference image P1D using lossless file tool of compression, obtains the low resolution difference
Image coding result.In the specific embodiment of the invention, by taking WINRAR lossless file tool of compression as an example, encoded using WINRAR
The difference image P1D obtains the file of an entitled .RAR of extension, is denoted as F1.RAR.Certainly, the lossless file tool of compression
It is also possible to other common file tools of compression, such as WINZIP, 7-ZIP etc., the file of corresponding difference image coded data
Name suffix is .ZIP or .7Z, and invention is not limited thereto.
Step S4, to the low-resolution image P1 up-sample, obtain a resolution ratio it is identical with original image P0 on
Sampled images P0R.
Step S5 encodes the difference of the original image P0 and the up-sampling image P0R using lossless file tool of compression
Partial image obtains high-resolution difference image coding result.
Specifically, step S5 further comprises:
Step S500 calculates the difference image of the original image P0 and the up-sampling image P0R, is denoted as P0D；
Step S501 encodes the difference image P0D using lossless file tool of compression, obtains the high-resolution difference
Image coding result.In the specific embodiment of the invention, by taking WINRAR lossless file tool of compression as an example, encoded using WINRAR
The difference image P0D obtains the file of an entitled .RAR of extension, is denoted as F0.RAR.Certainly, the lossless file tool of compression
It is also possible to other common file tools of compression, such as WINZIP, 7-ZIP etc., the file of corresponding difference image coded data
Name suffix is .ZIP or .7Z.
Step S6 damages pattern-coding result, low resolution difference image coding result, high-resolution difference diagram for described
Coded data as coding result as the original image P0 realizes the purpose of lossless image coding.
Fig. 2 is a kind of system architecture diagram of lossless image code device of the present invention.As shown in Fig. 2, the present invention is a kind of lossless
Picture coding device, comprising:
Downsampling unit 201 obtains a low-resolution image for carrying out down-sampling to original image P0 to be encoded
P1.In the specific embodiment of the invention, downsampling unit 201 obtains one to original image (being denoted as P0) down-sampling to be encoded
A horizontal and vertical resolution ratio is all the low-resolution image (being denoted as P1) of original image half.
Mode encoding unit 202 is damaged, for carrying out damaging pattern-coding to the low-resolution image P1, is damaged
Pattern-coding result.In the specific embodiment of the invention, pattern-coding P1 is damaged using JPEG2000, obtains an extension name
For the file of .JP2, it is denoted as F1.JP2.
Low resolution difference image coding unit 203 damages pattern-coding result for basis and obtains reconstruct low resolution
Image is encoded the difference image of the reconstruct low-resolution image and low-resolution image P1 using lossless compression tool, obtained
Low resolution difference image coding result.
Specifically, low resolution difference image coding unit 203 further comprises:
Decoding unit obtains reconstruct low-resolution image, note for being decoded to damaging pattern-coding result F1.JP2
For P1R, correspondingly, decoding unit damages pattern-coding result F1.JP2 using JPEG2000 decoding, obtains reconstruct low resolution
Image P1R；
Low resolution difference image computing unit, for calculating low-resolution image P1 and reconstruct low-resolution image P1R
Difference image, be denoted as P1D；
First lossless encoding unit obtains described for encoding the difference image P1D using lossless file tool of compression
Low resolution difference image coding result.In the specific embodiment of the invention, by taking WINRAR lossless file tool of compression as an example, nothing
It damages coding unit and encodes the difference image P1D using WINRAR, obtain the file of an entitled .RAR of extension, be denoted as
F1.RAR.Certainly, which is also possible to other common file tools of compression, such as WINZIP, 7-ZIP
File name suffix Deng, corresponding difference image coded data is .ZIP or .7Z, and invention is not limited thereto.
Up-sampling unit 204 obtains a resolution ratio and original image for up-sampling to the low-resolution image P1
The identical up-sampling image P0R of P0.
High-resolution difference image coding unit 205, for encoding the original image using lossless file tool of compression
The difference image of P0 and the up-sampling image P0R, obtain high-resolution difference image coding result.
Specifically, high-resolution difference image coding unit 205 further comprises:
High-resolution difference image computing unit, for calculating the original image P0's and up-sampling image P0R
Difference image is denoted as P0D；
Second lossless encoding unit obtains described for encoding the difference image P0D using lossless file tool of compression
High-resolution difference image coding result.In the specific embodiment of the invention, by taking WINRAR lossless file tool of compression as an example, the
Two lossless encoding units encode the difference image P0D using WINRAR, obtain the file of an entitled .RAR of extension, are denoted as
F0.RAR.Certainly, which is also possible to other common file tools of compression, such as WINZIP, 7-ZIP
File name suffix Deng, corresponding difference image coded data is .ZIP or .7Z.
Original image coding unit 206, for damaging pattern-coding result, low resolution difference image coding knot for described
The coded data of fruit, high-resolution difference image coding result as the original image P0 realizes the mesh of lossless image coding
's.
Fig. 3 is the process schematic of lossless image coding in the specific embodiment of the invention.As shown in figure 3, the lossless image
Coding method, process are as follows:
Step 1: by original image (being denoted as P0) down-sampling to be encoded, such as the resolution ratio of P0 is 1024 × 768, is obtained
It is all the low-resolution image (being denoted as P1) of original image half to a horizontal and vertical resolution ratio, the resolution ratio of P1 is
512×384；Downsapling method can use the prior art, and invention is not limited thereto.
Step 2: damaging pattern-coding low-resolution image P1 using JPEG2000, obtains the entitled .JP2's of extension
File is denoted as F1.JP2；
Step 3: decoding F1.JP2 using JPEG2000, obtains reconstruct low-resolution image, is denoted as P1R, resolution ratio is
512×384；
Step 4: seeking the difference image of P1 and P1R, is denoted as P1D, i.e. P1D=P1-P1R；
Step 5: using WINRAR encoded differential image P1D, obtains the file of an entitled .RAR of extension, is denoted as F1.RAR；
Step 6: up-sampling low-resolution image P1 obtains a resolution ratio and the identical image of original image P0, is denoted as
P0R；Top sampling method can also use the prior art；
Step 7: seeking the difference image of original image P0 and P0R, is denoted as P0D, i.e. P0D=P0-P0R；
Step 8: utilizing WINRAR encoded differential image P0D, obtains the file of an entitled .RAR of extension, is denoted as
F0.RAR；
Step 9: using F1.JP2, F1.RAR and F0.RAR as the coded data of original image P0.
In conclusion a kind of lossless image coding method of the present invention and device combine damage pattern-coding (such as
JPEG2000) and the advantages of lossless file tool of compression (such as WINRAR), using damaging pattern-coding (such as JPEG2000)
The lossless compression-encoding and progressive transmission of image are realized with lossless file tool of compression (such as WINRAR), and in progressive transmission
It can directly save in the process and damage image data, not need to recompile.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.Any
Without departing from the spirit and scope of the present invention, modifications and changes are made to the above embodiments by field technical staff.Therefore,
The scope of the present invention, should be as listed in the claims.
Claims (10)
1. a kind of lossless image coding method, includes the following steps:
Step S1 carries out down-sampling to original image P0 to be encoded, obtains a low-resolution image P1；
Step S2 carries out the low-resolution image P1 to damage pattern-coding, and acquisition damages pattern-coding result；
Step S3 is obtained reconstruct low-resolution image according to the pattern-coding result that damages, is encoded using lossless compression tool
The difference image of the reconstruct low-resolution image and low-resolution image P1, obtains low resolution difference image coding result；
Step S4 up-samples the low-resolution image P1, and it is identical as the original image P0 to obtain a resolution ratio
Up-sampling image P0R；
Step S5 encodes the difference diagram of the original image P0 and the up-sampling image P0R using lossless file tool of compression
Picture obtains high-resolution difference image coding result；
Step S6 compiles pattern-coding result, low resolution difference image coding result, the high-resolution difference image of damaging
Coded data of the code result as the original image P0.
2. a kind of lossless image coding method as described in claim 1, it is characterised in that: in step S1, to be encoded
Original image P0 down-sampling obtains the low-resolution image that a horizontal and vertical resolution ratio is all original image half
P1。
3. a kind of lossless image coding method as claimed in claim 2, it is characterised in that: in step S2, utilize
JPEG2000 damages low-resolution image P1 described in pattern-coding, obtains described damaging pattern-coding result.
4. a kind of lossless image coding method as claimed in claim 3, which is characterized in that step S3 further comprises:
Step S300 is decoded the pattern-coding result that damages, and obtains reconstruct low-resolution image P1R；
Step S301 calculates the low-resolution image P1 and reconstructs the difference image P1D of low-resolution image P1R；
Step S302 encodes the difference image P1D using lossless file tool of compression, obtains the low resolution difference image
Coding result.
5. a kind of lossless image coding method as claimed in claim 4, it is characterised in that: in step S300, utilize
Pattern-coding is damaged as a result, obtaining the reconstruct low-resolution image P1R described in JPEG2000 decoding.
6. a kind of lossless image coding method as claimed in claim 5, it is characterised in that: described lossless in step S302
Compressing file tool includes but is not limited to WINRAR, WINZIP and 7-ZIP.
7. a kind of lossless image coding method as claimed in claim 4, which is characterized in that step S5 further comprises:
Step S500 calculates the difference image of the original image P0 and the up-sampling image P0R；
Step S501 encodes the difference image P0D using lossless file tool of compression, obtains the high-resolution difference image
Coding result.
8. a kind of lossless image coding method as claimed in claim 7, it is characterised in that: the lossless file tool of compression packet
It includes but is not limited to WINRAR, WINZIP and 7-ZIP.
9. a kind of lossless image code device, comprising:
Downsampling unit obtains a low-resolution image P1 for carrying out down-sampling to original image P0 to be encoded；
Mode encoding unit is damaged, damages pattern-coding for carrying out to the low-resolution image P1, acquisition damages mode volume
Code result；
Low resolution difference image coding unit obtains reconstruct low resolution figure for damaging pattern-coding result according to
Picture is encoded the difference image of the reconstruct low-resolution image and low-resolution image P1 using lossless compression tool, obtained low
Resolution ratio difference image coding result；
Up-sampling unit obtains a resolution ratio and the original graph for up-sampling to the low-resolution image P1
As the identical up-sampling image P0R of P0；
High-resolution difference image coding unit, for using lossless file tool of compression encode the original image P0 with it is described
The difference image for up-sampling image P0R, obtains high-resolution difference image coding result；
Original image coding unit, for damaging pattern-coding result, low resolution difference image coding result, high score for described
Coded data of the resolution difference image coding result as the original image P0.
10. a kind of lossless image code device as claimed in claim 9, which is characterized in that the low resolution difference image
Coding unit further comprises:
Decoding unit obtains reconstruct low-resolution image for being decoded to the pattern-coding result that damages；
Low resolution difference image computing unit, for calculating low-resolution image P1 and reconstructing the difference of low-resolution image P1R
Partial image P1D；
First lossless encoding unit obtains described low point for encoding the difference image P1D using lossless file tool of compression
Resolution difference image coding result.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109889841A (en) * | 2019-03-28 | 2019-06-14 | 北京青燕祥云科技有限公司 | Method for compressing image and device |
| CN111935483A (en) * | 2020-09-29 | 2020-11-13 | 北京泽塔云科技股份有限公司 | Video image lossless coding and decoding method and system |
| WO2021168827A1 (en) * | 2020-02-28 | 2021-09-02 | 华为技术有限公司 | Image transmission method and apparatus |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013229768A (en) * | 2012-04-25 | 2013-11-07 | Nippon Telegr & Teleph Corp <Ntt> | Method and device for encoding video |
| JP2013247473A (en) * | 2012-05-24 | 2013-12-09 | Nippon Telegr & Teleph Corp <Ntt> | Distributed video coding method and system and decoding device |
| CN103607591A (en) * | 2013-10-28 | 2014-02-26 | 四川大学 | Image compression method combining super-resolution reconstruction |
| CN105959705A (en) * | 2016-05-10 | 2016-09-21 | 武汉大学 | Video live broadcast method for wearable devices |
| CN107018422A (en) * | 2017-04-27 | 2017-08-04 | 四川大学 | Still image compression method based on depth convolutional neural networks |
| CN107181949A (en) * | 2017-06-23 | 2017-09-19 | 四川大学 | A kind of compression of images framework of combination super-resolution and residual coding technology |
-
2018
- 2018-12-14 CN CN201811534169.XA patent/CN109451323A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013229768A (en) * | 2012-04-25 | 2013-11-07 | Nippon Telegr & Teleph Corp <Ntt> | Method and device for encoding video |
| JP2013247473A (en) * | 2012-05-24 | 2013-12-09 | Nippon Telegr & Teleph Corp <Ntt> | Distributed video coding method and system and decoding device |
| CN103607591A (en) * | 2013-10-28 | 2014-02-26 | 四川大学 | Image compression method combining super-resolution reconstruction |
| CN105959705A (en) * | 2016-05-10 | 2016-09-21 | 武汉大学 | Video live broadcast method for wearable devices |
| CN107018422A (en) * | 2017-04-27 | 2017-08-04 | 四川大学 | Still image compression method based on depth convolutional neural networks |
| CN107181949A (en) * | 2017-06-23 | 2017-09-19 | 四川大学 | A kind of compression of images framework of combination super-resolution and residual coding technology |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109889841A (en) * | 2019-03-28 | 2019-06-14 | 北京青燕祥云科技有限公司 | Method for compressing image and device |
| WO2021168827A1 (en) * | 2020-02-28 | 2021-09-02 | 华为技术有限公司 | Image transmission method and apparatus |
| CN111935483A (en) * | 2020-09-29 | 2020-11-13 | 北京泽塔云科技股份有限公司 | Video image lossless coding and decoding method and system |
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