Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (5): 110-115.doi: 10.13190/j.jbupt.2016.05.022

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Perceptual Video Signal Compression Method Based on Structure Analysis

YE Feng1,2,3, LI Cheng-xin1, XU Li1, CHEN Jia-zhen1, MEN Ai-dong3   

  1. 1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China;
    2. Fujian STAR-NET Communications Company, Ltd, Fuzhou 350007, China;
    3. Multimedia Center, Beijing University of Posts and Telecommunication, Beijing 100876, China
  • Received:2016-04-16 Online:2016-10-28 Published:2016-12-02

Abstract: In order to remove the visual perceptual redundancy, a new perceptual video signal processing model based on structure analysis combined with saliency just noticeable distortion (SSJ) was proposed. First, the order structure component, disorderly structure component and texture component can be estimated by some method, which are used to just noticeable distortion (JND) model. Then the disorderly structure uncertainty of disorderly structure component is available to adjust saliency regions of frames and contrast masking. Finally, The SSJ model is incorporated into HEVC software HM 16.0 via the adaptive perception signal process. Experiments show that 10.3% bitrate reduction is achieved in the proposed system compared with HM 16.0 without jeopardizing the perceptual quality.

Key words: just noticeable distortion, saliency, signal processing, perceptual redundancy

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