A quantization method based on visual perception characteristics in distributed video coding

A distributed video and visual perception technology, applied in the fields of digital video signal modification, television, electrical components, etc., can solve the problem of ignoring the difference between the subjective quality and objective quality of the image, achieve efficient distributed video coding strategy, reduce the bit rate , the effect of good versatility

Inactive Publication Date: 2011-12-14
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0004] However, the disadvantage of distributed video coding is that although the SW theory proves that a new coding strategy of independent coding and joint decoding can achieve the same coding performance as joint coding
[0006] How...

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  • A quantization method based on visual perception characteristics in distributed video coding
  • A quantization method based on visual perception characteristics in distributed video coding
  • A quantization method based on visual perception characteristics in distributed video coding

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Embodiment

[0017] in accordance with figure 1 As shown, the quantization method based on visual perception in the distributed video coding theory, the steps are as follows:

[0018] A. Before image encoding, establish an initialized perceptual quantization matrix

[0019] A.1 Calculation of visual perception threshold based on spatial contrast

[0020] According to the size of the video image to be encoded and the optimal viewing distance v, calculate the visual perception threshold T of each frequency coefficient in the 8×8DCT transform block based on the spatial contrast b (i, j), namely:

[0021] T b (i,j)=exp(c·ω(i,j)) / (a+b·ω(i,j))

[0022] ω ( i , j ) = 1 2 N ( i / θ x ) ...

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Abstract

The invention discloses a visual-perception-characteristic-based quantification method in distributed video coding. A distributed video coding characteristic is combined with a visual perception characteristic, a perception quantification matrix is initialized before coding, and two steps of perception quantification strategies for quantifying the step length are dynamically adjusted in the coding process. The visual perception characteristic of the human eye is fully utilized, selective coding/decoding is realized according to different sensitivity of the human eye on image contents, errors which cannot be observed by the human eye in the original image and the side information are prevented from being coded and decoded, and the distributed video coding rate is effectively reduced on thepremise that the subjective quality of the coded image is not affected. The method can be compatible with the conventional research results for improving the distributed video coding performance; andby the method, the coding performance of the distributed video is further improved, and a more efficient distributed video coding strategy is realized. The method is suitable for multiple distributed-video-coding-theory-based coding frameworks of single view point, third dimension, multiple view points and the like, and has good universality.

Description

Technical field: [0001] The invention belongs to the field of video coding and processing, and in particular relates to the research of perceptual quantization algorithm in the process of distributed video coding. Background technique: [0002] Traditional video coding technology achieves efficient video compression through motion compensation algorithms in the coding process, but this makes the complexity of the coding side much higher than that of the decoding side, and due to the use of motion prediction, the robustness of video stream transmission is reduced. Therefore, traditional video coding technologies are mostly used in services such as digital video broadcasting and video-on-demand in a server-client structure. However, with the development of communication technology, new video applications and video services are also produced. For example, on-site video acquisition and encoding is performed through mobile video devices or wireless video sensor networks, and the...

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Application Information

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IPC IPC(8): H04N7/26H04N7/30H04N19/124H04N19/147H04N19/44H04N19/90
Inventor 张蕾彭强任健鹏王琼华
Owner SOUTHWEST JIAOTONG UNIV
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