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Bell template digital image coder and decoder (CODEC) method based on W-Z structure

A codec method and digital image technology, applied in the field of Bell template digital image compression, can solve the problems of rate-distortion performance improvement, quantizer design without global optimization, etc., and achieve the effect of reducing computational complexity

Inactive Publication Date: 2013-04-24
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0004] The present invention provides a Bell template digital image encoding and decoding method based on the W-Z structure in order to solve the problems that the quantizer design has not been globally optimized and the rate-distortion performance needs to be improved in the existing Bell template digital image encoding and decoding method.

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  • Bell template digital image coder and decoder (CODEC) method based on W-Z structure
  • Bell template digital image coder and decoder (CODEC) method based on W-Z structure
  • Bell template digital image coder and decoder (CODEC) method based on W-Z structure

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Embodiment Construction

[0041] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0042] A method for encoding and decoding Bell template digital images based on Wyner-Ziv (W-Z) structure, comprising the following steps:

[0043] (I) Convert a frame of Bell template digital image into four component images through color space separation: perform color space conversion on the pixels in each Bell template, and replace the original green pixel value with the brightness component Y 1 , Y 2 , the original red and blue pixel values ​​are replaced by the color difference component C r 、C b , and then the luminance component Y 1 , Y 2 and the color difference component C r 、C b After separation, two brightness component images A, B and two color difference component images C, D are merged into rectangular two luminance component images of the same kind; the size of the four component images is 1 / 4 of the original frame image....

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Abstract

The invention relates to the Bell template digital image compression technology, in particular to a Bell template digital image coder and decoder (CODEC) method based on the W-Z structure. The problem of that a quainter design existing in the existing Bell template digital image CODEC method is not for global optimization and the like is resolved. The Bell template digital image coder and decoder (CODEC) method includes steps as follows that (I), a frame of the Bell template digital image is converted to four component images through the color spatial isolation, pixels in each Bell template is in color spatial conversion, original pixel values are displaced luminance components Y 1, Y 2, original reddish blue pixel values are displaced aberration components C r, C b, then the luminance components Y 1,Y 2 and the aberration components C r, C b are respectively separated and similar combinations are rectangular two luminance component image A, B and two aberration component image C, D. The Bell template digital image CODEC method based on the W-Z structure is reasonable in design and capable of displaying better rate-distortion performance under the condition with high speeds.

Description

technical field [0001] The invention relates to a Bell template digital image compression technology, in particular to a Bell template digital image encoding and decoding method based on a W-Z structure. Background technique [0002] Bell template image sensors are widely used in digital imaging equipment (such as digital cameras, network surveillance cameras, etc.). Due to the needs of storage and communication transmission, it is particularly important to study more efficient Bell template digital image compression encoding and decoding methods. In most of the compression coding schemes, the three primary color components of the Bell image are generally separated and transformed firstly, and the separated components are compressed and coded separately by algorithms such as JPEG and JPEG2000. These algorithms also have some problems. For example, the quantizers of each component cannot be globally optimized. In the communication process, channel coding and entropy coding w...

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Application Information

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IPC IPC(8): H04N7/26H04N7/30H04N19/147H04N19/186
Inventor 程永强郝润芳韩俊萍
Owner TAIYUAN UNIV OF TECH
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