CN107801031B - A kind of lossless compression-encoding method to pure three primary colors image data - Google Patents
A kind of lossless compression-encoding method to pure three primary colors image data Download PDFInfo
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- 238000003786 synthesis reaction Methods 0.000 claims abstract description 7
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- H—ELECTRICITY
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- 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
- H04N19/169—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
- H04N19/182—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 pixel
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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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- 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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- 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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Abstract
The present invention relates to a kind of lossless compression-encoding methods to pure three primary colors image data, its by by the pixel Value Data of pixel each in picture to be compressed compared with a specified pixel value, if equal be recorded as the decimal system 1, otherwise it is recorded as the decimal system 0 and records the value of pixel, so sequence is relatively got off repeatedly and by algorithm combination at a byte records, circulation compares the new picture data files having compressed that the pixel value comprising byte data and all storages after specified pixel value, all synthesis is ultimately generated until picture data files tail to be compressed.Of the invention provides a kind of image data lossless compression method to the lossless compression-encoding method of pure three primary colors image data, can overcome the problems, such as that picture compression compression ratio is low in the prior art, compression effectiveness is insufficient and lossy compression;Even the discontinuous duplicate pixel of dispersion could be used that less byte to record, image data compression ratio is improved, and keep image data intact.
Description
Technical field
The present invention relates to picture compression technical fields, concretely relate to a kind of to the lossless of pure three primary colors image data
Compaction coding method.
Background technique
Currently, well known picture compression method has lossy compression method and lossless compression.
Lossless compression usually has run length encoding, the basic principle is that color value in one scan line is identical adjacent
Pixel indicates that first character section is a count value with two bytes, is used for the duplicate number of specified pixel;Second byte
It is the value of specific pixel.Lossless compression can save better the quality of image, but if it is changeable to encounter picture pixels, together
The location of pixels of value is also changeable dispersion, will result in the byte number of the count value for recording the duplicate number of specified pixel
Amount becomes larger, and two bytes can only record a pixel, so that the compression ratio of this method is relatively low.
Lossy compression method is usually that color space is reduced to common color in image.Selected color is defined on pressure
In the palette of contracting image head, each pixel in image is indicated with color index in palette, this method can with tremble
Dynamic (en:dithering) is used together with fuzzy color boundary.Lossy compression has following methods:
Coloration sampling;This is utilized human eye and is much larger than color change for the sensibility of brightness change, can thus incite somebody to action
It is even more that colouring information in image reduces half.
Transition coding;The Fourier correlating transforms as discrete cosine transform (DCT) or wavelet transformation are used first,
Then it carries out quantization and is compressed with entropy coding method.
Fractal compression (en:Fractal compression);It searches self similarity part in figure and leads to compression time mistake
It is long.
Slower, the picture is incomplete that solution presses out, to limit using the suitable speed of lossy compression method compression and decompression
The uses of some occasions for needing full picture.
Summary of the invention
For the deficiencies of the prior art, the present invention provides a kind of lossless compression-encoding sides to pure three primary colors image data
Method.
The specific technical solution of lossless compression-encoding method to pure three primary colors image data of the invention is as follows:
A kind of lossless compression-encoding method to pure three primary colors image data, treats compressed picture by sequence from first to last
Each of pixel handled;Processing step is as follows:
S1: the pixel Value Data of pixel in picture to be compressed is extracted;
S2: compared with the pixel Value Data of the pixel of extraction is carried out repeatedly with a specified pixel value;Wherein, will with it is described
The pixel value of the identical pixel of specified pixel value presses step S3 processing;Wherein, by with the specified pixel value not phase
The pixel value of the pixel presses step S4 processing;
S3: the pixel value is recorded as the decimal system 1;
S4: the pixel value is recorded as the decimal system 0 and stores the pixel value of the pixel;
S5: all decimal systems 0 of all decimal systems 1 of step S3 record and step S4 record are passed through into algorithm
And it synthesizes a byte and stores;
S6: judge pixel data handled by the step S5 whether be the picture to be compressed data tail;If described
Pixel data is not the data tail of the picture to be compressed, then handles by step S7;If the pixel data is described to be compressed
The data tail of picture is then handled by step S8;
S7: next pixel data in the picture to be compressed is handled by the method for the step S1-S6;
S8: by the specified pixel value, all byte datas after step S5 synthesis and all step S4
The pixel value of middle storage is combined into new picture pixels file, to realize the compression to the picture to be compressed.
Lossless compression-encoding method to pure three primary colors image data of the invention is by by picture each in picture to be compressed
The pixel Value Data of element is recorded as compared with a specified pixel value, and by the pixel value of pixel identical with specified pixel value
1, the pixel value of the pixel different from specified pixel value is recorded as 0 and records the value of pixel, so sequence relatively repeatedly simultaneously
Got off by algorithm combination at a byte records, each (bit) corresponding value of this byte is the specified pixel of front
Value either other pixel values, circulation compare the new picture for ultimately generating and having compressed until picture data files tail to be compressed
Data file, new data file include the specified pixel value, all byte datas and institute after step S5 synthesis
There is the pixel value stored in the step S4, to achieve the purpose that the compression of image data.
Through the above technical solutions, the lossless compression-encoding method of the invention to pure three primary colors image data provides one
Kind image data lossless compression method, can be improved image data compression ratio, and keep picture is complete lossless;It can overcome existing
The problem of picture compression compression ratio is low in technology, compression effectiveness is insufficient and lossy compression;Even dispersion is discontinuous duplicate
Pixel could be used that less byte to record, and improve image data compression ratio, and keep image data intact.
According to a preferred embodiment, the specified pixel value are as follows: complete by picture to be compressed described in sequence analogy
That most pixel value of quantity in the picture to be compressed that portion's pixel obtains, described.
According to a preferred embodiment, the specified pixel value is one in decimal system 0-255.
According to a preferred embodiment, in the step S2, the pixel Value Data of the pixel of extraction and institute
The number that specified pixel value compares is stated to be total up to 8 times.
According to a preferred embodiment, in the step S5, be will be recorded by the step S3 all ten into
8 data that all decimal systems 0 of system 1 and step S4 record form pass through algorithm and synthesize a byte and store.
According to a preferred embodiment, in the step S5, the algorithm is the institute that records the step S3
There are all decimal systems 0 of the decimal system 1 and step S4 record respectively with two factorization, remainder is converted into multiple binary systems simultaneously
Synthesize a byte storage.
According to a preferred embodiment, the algorithm is all decimal systems 1 that will be recorded by the step S3 and institute
8 data for stating the composition of all decimal systems 0 of step S4 record use two factorization respectively, and remainder is converted into 8 binary systems simultaneously
Synthesize a byte storage.
Compared with prior art, the lossless compression-encoding method of the invention to pure three primary colors image data has and has as follows
Beneficial effect:
Lossless compression-encoding method to pure three primary colors image data of the invention is by by picture each in picture to be compressed
The pixel Value Data of element is recorded as compared with a specified pixel value, and by the pixel value of pixel identical with specified pixel value
1, the pixel value of the pixel different from specified pixel value is recorded as 0 and records the value of pixel, so sequence relatively repeatedly simultaneously
Got off by algorithm combination at a byte records, each (bit) corresponding value of this byte is the specified pixel of front
Value either other pixel values, circulation compare the new picture for ultimately generating and having compressed until picture data files tail to be compressed
Data file, new data file include the specified pixel value, all byte datas and institute after step S5 synthesis
There is the pixel value stored in the step S4, to achieve the purpose that the compression of image data.
Through the above technical solutions, the lossless compression-encoding method of the invention to pure three primary colors image data provides one
Kind image data lossless compression method, can be improved image data compression ratio, and keep picture is complete lossless;It can overcome existing
The problem of picture compression compression ratio is low in technology, compression effectiveness is insufficient and lossy compression;Even dispersion is discontinuous duplicate
Pixel could be used that less byte to record, and improve image data compression ratio, and keep image data intact.
Detailed description of the invention
Fig. 1 is the present invention to a kind of stream of preferred embodiment in the lossless compression-encoding method of pure three primary colors image data
Cheng Tu.
Specific embodiment
Compression of images refers to why the data volume for reducing and indicating to need when digital picture, image data can be compressed, just
It is because there is redundancies in data.The redundancy of image data is mainly shown as: the correlation in image between adjacent pixel causes
Spatial redundancy;There are time redundancies caused by correlation between different frame in image sequence;Different color planes or spectral band
Correlation caused by spectral redundancy.The purpose of data compression is exactly to reduce to indicate data institute by removing these data redundancies
The bit number needed.
The lossless compression-encoding method of the invention to pure three primary colors image data is carried out with reference to the accompanying drawing detailed
Explanation.
A kind of lossless compression-encoding method to pure three primary colors image data, treats compressed picture by sequence from first to last
Each of pixel handled;Processing step is as follows:
S1: the pixel Value Data of pixel in picture to be compressed is extracted.
S2: compared with the pixel Value Data of the pixel of extraction is carried out repeatedly with a specified pixel value;And will with it is described
The pixel value of the identical pixel of specified pixel value presses step S3 processing;By the picture with the specified pixel value not phase
The pixel value of element presses step S4 processing;
Wherein, the specified pixel value be obtained by picture to be compressed whole pixel described in sequence analogy, it is described to
That most pixel value of quantity in compressed picture;It is one in decimal system 0-255;
Also, number of the pixel Value Data for the pixel extracted compared with the specified pixel value is total up to 8 times.It is logical
Can just be formed by crossing 8 comparisons in total and record by 8 of a byte.
S3: the pixel value is recorded as the decimal system 1.
S4: the pixel value is recorded as the decimal system 0 and stores the pixel value of the pixel.
S5: all decimal systems 0 of all decimal systems 1 of step S3 record and step S4 record are passed through into algorithm
And it synthesizes a byte and stores.
It preferably, is to remember all decimal systems 1 recorded by the step S3 and the step S4 in the step S5
8 data that all decimal systems 0 of record form pass through algorithm and synthesize a byte and store.
The algorithm is all decimal systems 0 for recording the step S3 all decimal systems 1 recorded and the step S4
Respectively with two factorization, remainder is converted into multiple binary systems and synthesizes a byte storage.
Specifically, the institute that the algorithm records for all decimal systems 1 that will be recorded by the step S3 and the step S4
Two factorization are used respectively by 8 data that the decimal system 0 forms, and remainder is converted into 8 binary systems and synthesizes a byte storage.
Such as: (D indicates that the decimal system, B indicate binary system)
1 turn of binary system of decimal integer:
1/2=0 mores than 1, the result is that 1 (D)=00000001 (B);
0 turn of binary system of decimal integer:
0/2=0 mores than 0, the result is that 0 (D)=00000000 (B);
8 binary systems are merged into a byte:
1→00000001(B)
2→00000000(B)
3→00000001(B)
4→00000001(B)
5→00000001(B)
6→00000000(B)
7→00000001(B)
8→00000001(B)
Sequentially 1 obtains 00000010 (B) plus sequentially 2 00000010 (B) is obtained to moving to left one, and obtained end value is again
To move to left one obtain 00000100 (B) along with sequence 3 obtain 00000101 (B) be moved a bit further plus sequence 4, so shift
The byte of 10111011 (B) 8 bits is finally obtained with cumulative 8 times.
S6: judge pixel data handled by the step S5 whether be the picture to be compressed data tail;If described
Pixel data is not the data tail of the picture to be compressed, then handles by step S7;If the pixel data is described to be compressed
The data tail of picture is then handled by step S8.
S7: next pixel data in the picture to be compressed is handled by the method for the step S1-S6.
S8: by the specified pixel value, all byte datas after step S5 synthesis and all step S4
The pixel value of middle storage is combined into new picture pixels file, to realize the compression to the picture to be compressed.
Illustrate the present invention to a kind of preferred in the lossless compression-encoding method of pure three primary colors image data with reference to the accompanying drawing
Embodiment.
Fig. 1 shows the present invention to a kind of preferred embodiment in the lossless compression-encoding method of pure three primary colors image data
Flow chart.
As shown in Figure 1, the present invention to the specific main flow of lossless compression-encoding method of pure three primary colors image data such as
Under:
Step 1: program brings into operation;
Step 2: extracting the pixel Value Data of picture pixels and compared with specified pixel value carries out 8 times;
Step 3: the pixel value of the pixel identical with the specified pixel value is recorded as ten in comparison procedure
System 1;The decimal system 0 will be recorded as with the pixel value of the specified pixel value not pixel of phase and store the picture of the pixel
Element value;
Step 4: 8 decimal datas being made of above-mentioned all decimal systems 1 and all decimal systems 0 are passed through two respectively
Factorization, remainder are converted into 8 binary systems and synthesize a byte storage;
Step 5: judging whether image data tail;If being judged as NO pixel value number of the Hui Ze to second step to next pixel
According to being handled, the 6th step is otherwise run to;
Step 6: the picture pixels value of specified pixel value, the byte data of storage synthesized more afterwards and storage is combined into
New picture pixels file;
Step 7: terminating.
Lossless compression-encoding method to pure three primary colors image data of the invention is by by picture each in picture to be compressed
The pixel Value Data of element is recorded as compared with a specified pixel value, and by the pixel value of pixel identical with specified pixel value
1, the pixel value of the pixel different from specified pixel value is recorded as 0 and records the value of pixel, so sequence relatively repeatedly simultaneously
Got off by algorithm combination at a byte records, each (bit) corresponding value of this byte is the specified pixel of front
Value either other pixel values, circulation compare the new picture for ultimately generating and having compressed until picture data files tail to be compressed
Data file, new data file include the specified pixel value, all byte datas and institute after step S5 synthesis
There is the pixel value stored in the step S4, to achieve the purpose that the compression of image data.
Through the above technical solutions, the lossless compression-encoding method of the invention to pure three primary colors image data provides one
Kind image data lossless compression method, can be improved image data compression ratio, and keep picture is complete lossless;It can overcome existing
The problem of picture compression compression ratio is low in technology, compression effectiveness is insufficient and lossy compression;Even dispersion is discontinuous duplicate
Pixel could be used that less byte to record, and improve image data compression ratio, and keep image data intact.
It should be noted that all features disclosed in this specification or disclosed all methods or in the process the step of,
Other than mutually exclusive feature and/or step, it can combine in any way.
In addition, above-mentioned specific embodiment is exemplary, those skilled in the art can opening in the disclosure of invention
It gives and finds out various solutions, and these solutions also belong to disclosure of the invention range and fall into protection of the invention
Within the scope of.It will be understood by those skilled in the art that description of the invention and its attached drawing be it is illustrative and not constitute to power
The limitation that benefit requires.Protection scope of the present invention is defined by the claims and their equivalents.
Claims (3)
1. a kind of lossless compression-encoding method to pure three primary colors image data, which is characterized in that right by sequence from first to last
Each of picture to be compressed pixel is handled;Processing step is as follows:
S1: the pixel value of pixel in picture to be compressed is extracted;
S2: the pixel value of the pixel of extraction is compared with a specified pixel value;Judge whether number of comparisons reaches 8 times,
If not reaching 8 times, the pixel value for extracting next pixel is compared with the specified pixel value, is so recycled, directly
Reach 8 times to number of comparisons;Wherein, the pixel value of pixel identical with the specified pixel value is pressed into step S3 processing;Its
In, step S4 processing will be pressed with the pixel value of the different pixel of specified pixel value;
S3: the pixel value of the pixel is recorded as the decimal system 1;
S4: the pixel value of the pixel is recorded as the decimal system 0 and stores the pixel value of the pixel;
S5: 8 that all decimal systems 1 recorded by the step S3 and the step the S4 all decimal systems 0 recorded are formed
Data use two factorization respectively, and remainder is converted into 8 binary systems and synthesizes a byte storage;
S6: judge pixel Value Data handled by the step S5 whether be the picture to be compressed data tail;If the picture
Plain Value Data is not the data tail of the picture to be compressed, then handles by step S7;If the pixel Value Data is described wait press
The data tail of contract drawing piece is then handled by step S8;
S7: the pixel value of next pixel in the picture to be compressed is handled by the method for the step S1-S6;
S8: it will be deposited in the specified pixel value, all byte datas after step S5 synthesis and all step S4
The pixel value of storage is combined into new picture pixels file, to realize the compression to the picture to be compressed.
2. a kind of lossless compression-encoding method to pure three primary colors image data according to claim 1, which is characterized in that
The specified pixel value are as follows:
That most picture of quantity in picture to be compressed obtained by picture to be compressed whole pixel described in sequence analogy, described
Element value.
3. a kind of lossless compression-encoding method to pure three primary colors image data according to claim 2, which is characterized in that
The specified pixel value is one in decimal system 0-255.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101272442A (en) * | 2007-03-21 | 2008-09-24 | 杭州波导软件有限公司 | Digital image nondestructive compression method and device, resolution method and image encoder |
CN102065203A (en) * | 2009-12-17 | 2011-05-18 | 于培宁 | Method for storing and processing image sequence |
CN103491374A (en) * | 2012-06-12 | 2014-01-01 | 京瓷办公信息***株式会社 | Cell-based compression method of digital images and computing device |
EP3185555A1 (en) * | 2015-12-23 | 2017-06-28 | Université de Genève | Image compression method with negligible and quantifiable information loss and high compression ratio |
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CN106028029B (en) * | 2016-05-25 | 2018-11-06 | 杭州比特瑞旺电脑有限公司 | The digital KVM switcher video lossless compression method and system of low delay low complex degree |
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CN101272442A (en) * | 2007-03-21 | 2008-09-24 | 杭州波导软件有限公司 | Digital image nondestructive compression method and device, resolution method and image encoder |
CN102065203A (en) * | 2009-12-17 | 2011-05-18 | 于培宁 | Method for storing and processing image sequence |
CN103491374A (en) * | 2012-06-12 | 2014-01-01 | 京瓷办公信息***株式会社 | Cell-based compression method of digital images and computing device |
EP3185555A1 (en) * | 2015-12-23 | 2017-06-28 | Université de Genève | Image compression method with negligible and quantifiable information loss and high compression ratio |
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