Image coding method based on total variation

An image coding and full variation technology, applied in the field of image coding, can solve the problems that texture analysis and synthesizer do not specifically deal with texture features and do not reflect human visual characteristics well, so as to reduce bit rate and save bit rate , The effect of improving decoding performance

Active Publication Date: 2011-02-09
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] Currently commonly used image compression coding standards, such as JPEG and JPEG2000, do not reflect human visua

Method used

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  • Image coding method based on total variation
  • Image coding method based on total variation
  • Image coding method based on total variation

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Embodiment Construction

[0031] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0032] Such as figure 1 Shown, according to the image coding method based on total variation of the present invention, comprise the following steps:

[0033] (1) Decompose the input image I into structure component u and texture component v, that is, I=u+v.

[0034] Use the Meyer model to decompose the input image I:

[0035] in f u ∈ BV ∫ | ▿ u | + λ ∫ | | f - u | | G

[0036] In the formula, inf represents the convergence function The lower bound of , BV means bounded variational space; the first term It is TV(u), which represents the total variation of the structural...

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Abstract

The invention relates to an image coding method based on total variation, comprising the following steps of: (1) decomposing an input image (I) into a structure component (u) and a texture component (v); (2) analyzing the (u) at a coding end, selecting an analyzed area, mapping the (u) to the (v), and coding non-synthetic areas in the (u) and the (v) by using JPEG (Joint Photographic Experts Group) traditional coding mode; analyzing areas which need to be analyzed in the (v) by using a block connection method at a decoding end, v'' represents an analyzed result of a texture area, and u' and v' respectively represent compressed results of the non-synthetic areas in the (u) and the (v); (3) superimposing the u', the v' and the v'' at the coding end to obtain an image I', and I'' represents a result of the input image I which is compressed by the traditional FPEG; and under the same bit rate, judging whether the I' or the I''is nearer to the I by a JND (Just Noticeable Difference) model, then, if I'' is nearer to the I, reducing a decomposable model parameter lambda, returning to the step (1) to continue a whole process until the I' is nearer to the I as compared with the I'', finishing circulation, and selecting the I'. The invention can increase the coding quality of the image at the coding end.

Description

technical field [0001] The invention relates to an image coding method, which is especially suitable for image coding with a large number of texture regions. Background technique [0002] Efficient image / video compression coding is one of the basic scientific problems to be solved urgently in multimedia applications with digital storage and transmission as the core. Image / video compression methods can be roughly divided into two categories: signal processing-based coding methods and vision-based coding methods, which are widely used at present. The former mainly uses digital signal processing technology to remove spatio-temporal redundancy and statistical redundancy in images through prediction, transformation and entropy coding. The latter uses the results of human vision research and uses computer vision analysis to remove visual redundancy. The similarity of the content of the texture region leads to a large amount of visual redundancy in the texture region, so the text...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/90
Inventor 施云惠尹宝才侯艳丽丁文鹏
Owner BEIJING UNIV OF TECH
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