CN105513100B - A method of automatically selecting picture compression quality and compressed picture - Google Patents
A method of automatically selecting picture compression quality and compressed picture Download PDFInfo
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- CN105513100B CN105513100B CN201510877037.7A CN201510877037A CN105513100B CN 105513100 B CN105513100 B CN 105513100B CN 201510877037 A CN201510877037 A CN 201510877037A CN 105513100 B CN105513100 B CN 105513100B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Abstract
The present invention relates to electronic technology fields, more particularly relate to a kind of method automatically selecting picture compression quality and compressed picture, which is characterized in that comprise the steps of：A. picture feature database is established：Picture feature is preserved in the database, wherein each picture feature has corresponding compression quality;B. prepare precompressed picture：Prepare individual or multiple precommpression pictures, extracts and analyze the picture feature of every precommpression picture；C. compression quality is searched for：The picture feature of every precommpression picture and the picture feature in the database are compared, and search for the immediate picture feature of picture feature with precommpression picture respectively in the database；D. picture compression：According to the picture feature searched, every precommpression picture is compressed according to corresponding compression quality, is then preserved.The present invention can automatically select compression quality, reduce artificial participation, reduce the threshold to needing professional standing and experience when user setting.
Description
Technical field
The present invention relates to electronic technology fields, more particularly relate to one kind and automatically selecting picture compression quality and compressed picture
Method.
Background technology
Compression said herein is the quantity of the size and pixel that do not change picture, changes figure simply by adjustment compression quality
The size of piece file.Compression ratio=（The file size of picture after file size/compression of artwork）, compression quality is from 0---100.
Here compression is often referred to the compression of jpeg pictures, can also be applied to the extended formatting picture with jpeg same principles.For
General picture artwork（Source mobile phone camera, digital camera) compression quality be 99, compression quality 97 is artwork file size
1/2, compression quality 94 can be the 1/3 of artwork file size, and compression quality 91 is the 1/4 of artwork file size.Difference figure
The characteristics of piece, is different, and the vision in people is unresolvable, and compression ratio can be different.One common background is landscape
Portrait photo, compression quality can be 94, be compressed into camera and take and come the 1/3 of file size, the vision of people is to be unable to area
Photo before and after partial compression（Come even being punched out）.As soon as and the feature of the photo such as face of texture complexity, compression quality
97, compressed file can be the 1/2 of original file.And the portrait photo of a distant view, it is 91 that can select compression quality,
Compressed file can be that the method for 1/4. present setting compression quality of original file is all by artificial settings（Such as
The compression quality of jpeg pictures can be arranged in PhotoShop）, need artificially to go to judge the compressible quality of photo, for batch
Picture for, can not achieve personalized setting.
Invention content
The present invention is at least one defect overcome described in the above-mentioned prior art（It is insufficient）, one kind is provided and automatically selects picture
The method of compression quality and compressed picture.
In order to solve the above technical problems, technical scheme is as follows：
A method of automatically selecting picture compression quality and compressed picture, which is characterized in that comprise the steps of：
A. picture feature database is established：Picture feature is preserved in the database, wherein each picture feature has
Corresponding compression quality;
B. prepare precompressed picture：Prepare individual or multiple precommpression pictures, extracts and analyze every precommpression picture
Picture feature；
C. compression quality is searched for：Picture feature in the picture feature of every precommpression picture and the database is carried out
Comparison, and search for the immediate picture feature of picture feature with precommpression picture respectively in the database；
D. picture compression：According to the picture feature searched, according to corresponding compression quality to every precompressed contract drawing
Piece is compressed, and is then preserved.
Further, as optimal technical scheme, aforementioned picture is characterized in referring to the color histogram, color moment, face of picture
Color distribution map and/or picture texture complexity degree grade.
Further, as optimal technical scheme, aforementioned compression quality is between 80-98.
Further, as optimal technical scheme, the method for establishing picture feature database in abovementioned steps A include with
Lower step：
A. picture under different scenes is collected；
B. extract and analyze color histogram, color moment, distribution of color figure and/or the picture texture complexity per pictures
Intensity grade；
C. compressed picture is generated between compression quality 80-98, compressed picture is carried out by artificial and original picture
Comparison obtains and the unresolvable compression quality of original picture naked eyes；
D. artwork, the picture feature of extraction and obtained corresponding compression quality are preserved to form database.
Further, as optimal technical scheme, the method for establishing picture feature database in abovementioned steps A further includes
Step e. is fed back according to the case where processing picture, is constantly increasing and optimizes database.
Further, further include step E. artificial treatments as optimal technical scheme：If the quality to picture is dissatisfied,
Manual amendment's compression quality, to obtain the picture for meeting vision requirement.
Further, further include step F. data base optimizations as optimal technical scheme：It will be through manually adjusting compression quality
The artwork of picture, the picture feature of extraction and corresponding compression quality be added in database, with abundant and optimization database.
Compared with prior art, the advantageous effect of technical solution of the present invention is：
1. the present invention's passes through extraction picture feature（Such as color histogram, the texture of color moment, distribution of color figure, picture
Complexity grade）It selects corresponding compression quality in the database of picture feature automatically in the case where meeting vision requirement, reduces
Picture file size.
2. the present invention can realize picture batch processing, artificial participation is reduced, is reduced to needing profession when user setting
The threshold of knowledge and experience, by reducing the file size of picture, reducing the space of storage and reducing the time of transmission.
Specific implementation mode
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
A method of automatically selecting picture compression quality and compressed picture, which is characterized in that comprise the steps of：
A. picture feature database is established：Picture feature is preserved in the database, wherein each picture feature has
Corresponding compression quality, wherein the compression quality is between 80-98；Specific method for building up comprises the steps of：
A. picture under different scenes is collected；
B. extract and analyze color histogram, color moment, distribution of color figure and/or the picture texture complexity per pictures
Intensity grade；
C. compressed picture is generated between compression quality 80-98, compressed picture is carried out by artificial and original picture
Comparison obtains and the unresolvable compression quality of original picture naked eyes；
D. artwork, the picture feature of extraction and obtained corresponding compression quality are preserved to form database.
B. prepare precompressed picture：Prepare individual or multiple precommpression pictures, extracts and analyze every precommpression picture
Picture feature, the picture feature refers to that color histogram, color moment, distribution of color figure and/or the picture texture of picture are multiple
Miscellaneous intensity grade；
C. compression quality is searched for：Picture feature in the picture feature of every precommpression picture and the database is carried out
Comparison, and search for the immediate picture feature of picture feature with precommpression picture respectively in the database；
D. picture compression：According to the picture feature searched, according to corresponding compression quality to every precompressed contract drawing
Piece is compressed, and is then preserved.
Embodiment 2
The present embodiment is similar to embodiment 1, further, the method for establishing picture feature database in the step A
Further include that step e. is fed back according to the case where processing picture, is constantly increasing and optimizes database.
Embodiment 3
The present embodiment further includes further step E and step F, wherein step E similar to embodiment 1 or embodiment 2
For artificial treatment：If the quality to picture is dissatisfied, manual amendment's compression quality, to obtain the picture for meeting vision requirement；Its
Middle step F is data base optimization：By the artwork of the picture through manually adjusting compression quality, the picture feature of extraction and corresponding pressure
Contracting quality is added in database, with abundant and optimization database.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement etc., should be included in the claims in the present invention made by within the spirit and principle of invention
Protection domain within.
Claims (7)
1. a kind of method automatically selecting picture compression quality and compressed picture, which is characterized in that comprise the steps of：
A. picture feature database is established：Picture feature is preserved in the database, wherein each picture feature has and it
Corresponding compression quality;
B. prepare precompressed picture：Prepare individual or multiple precommpression pictures, extracts and analyze the figure of every precommpression picture
Piece feature；
C. compression quality is searched for：Picture feature in the picture feature of every precommpression picture and the database is carried out pair
Than, and search for the immediate picture feature of picture feature with precommpression picture respectively in the database；
D. picture compression：According to the picture feature searched, according to corresponding compression quality to every precommpression picture into
Row compression, then preserves.
2. the method according to claim 1 for automatically selecting picture compression quality and compressed picture, which is characterized in that described
Picture feature refers to color histogram, color moment, distribution of color figure and/or the picture texture complexity degree grade of picture.
3. the method according to claim 1 for automatically selecting picture compression quality and compressed picture, which is characterized in that described
Compression quality is between 80-98.
4. automatically selecting picture compression quality and the method for compressed picture, feature according to claim 1-3 any one of them
It is, the method for establishing picture feature database in the step A includes the following steps：
A. picture under different scenes is collected；
B. extract and analyze color histogram, color moment, distribution of color figure and/or the picture texture complexity degree per pictures
Grade；
C. compressed picture is generated between compression quality 80-98, compressed picture is carried out pair by artificial and original picture
Than obtaining and the unresolvable compression quality of original picture naked eyes；
D. artwork, the picture feature of extraction and obtained corresponding compression quality are preserved to form database.
5. the method according to claim 4 for automatically selecting picture compression quality and compressed picture, which is characterized in that institute
It further includes that step e. is fed back according to the case where processing picture to state the method for establishing picture feature database in step A, no
Increase and optimize disconnectedly database.
6. the method according to claim 4 for automatically selecting picture compression quality and compressed picture, which is characterized in that also wrap
Include step E. artificial treatments：If the quality to picture is dissatisfied, manual amendment's compression quality, to obtain the figure for meeting vision requirement
Piece.
7. the method according to claim 6 for automatically selecting picture compression quality and compressed picture, which is characterized in that also wrap
Include step F. data base optimizations：By the artwork of the picture through manually adjusting compression quality, the picture feature of extraction and corresponding pressure
Contracting quality is added in database, with abundant and optimization database.
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| CN201510877037.7A CN105513100B (en) | 2015-12-03 | 2015-12-03 | A method of automatically selecting picture compression quality and compressed picture |
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| CN201510877037.7A CN105513100B (en) | 2015-12-03 | 2015-12-03 | A method of automatically selecting picture compression quality and compressed picture |
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| CN105513100B true CN105513100B (en) | 2018-07-17 |
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Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106683050A (en) * | 2016-12-29 | 2017-05-17 | 深圳市金立通信设备有限公司 | Picture compression method and terminal |
| CN107766492B (en) * | 2017-10-18 | 2020-07-31 | 北京京东尚科信息技术有限公司 | Image searching method and device |
| CN107888707B (en) * | 2017-12-08 | 2021-04-20 | 北京奇艺世纪科技有限公司 | Picture transmission method and device and electronic equipment |
| EP3942467A1 (en) * | 2020-06-13 | 2022-01-26 | Google LLC | Machine learning-based image compression setting reflecting user preferences |
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| CN101075348A (en) * | 2006-11-30 | 2007-11-21 | 腾讯科技（深圳）有限公司 | Method and device for compressing image |
| CN102611823A (en) * | 2012-01-13 | 2012-07-25 | 百度在线网络技术（北京）有限公司 | Method and equipment capable of selecting compression algorithm based on picture content |
| CN102868847A (en) * | 2012-10-19 | 2013-01-09 | 北京奇虎科技有限公司 | Image type based processing method and device |
| CN102957906A (en) * | 2011-08-29 | 2013-03-06 | 广州九游信息技术有限公司 | Method and system for image classifying compression |
| CN103475876A (en) * | 2013-08-27 | 2013-12-25 | 北京工业大学 | Learning-based low-bit-rate compression image super-resolution reconstruction method |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075348A (en) * | 2006-11-30 | 2007-11-21 | 腾讯科技（深圳）有限公司 | Method and device for compressing image |
| CN102957906A (en) * | 2011-08-29 | 2013-03-06 | 广州九游信息技术有限公司 | Method and system for image classifying compression |
| CN102611823A (en) * | 2012-01-13 | 2012-07-25 | 百度在线网络技术（北京）有限公司 | Method and equipment capable of selecting compression algorithm based on picture content |
| CN102868847A (en) * | 2012-10-19 | 2013-01-09 | 北京奇虎科技有限公司 | Image type based processing method and device |
| CN103475876A (en) * | 2013-08-27 | 2013-12-25 | 北京工业大学 | Learning-based low-bit-rate compression image super-resolution reconstruction method |
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