Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (5): 155-162.doi: 10.11896/jsjkx.200800079

• Computer Graphics & Multimedia • Previous Articles     Next Articles

HEVC Post-processing Algorithm Based on Non-local Low-rank and Adaptive Quantization Constraint Prior

XU Yi-fei, XIONG Shu-hua, SUN Wei-heng, HE Xiao-hai, CHEN Hong-gang   

  1. School of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China
  • Received:2020-08-13 Revised:2020-09-17 Online:2021-05-15 Published:2021-05-09
  • About author:XU Yi-fei,born in 1996,postgraduate.Her main research interests includeimage/video coding and so on.(xyf103553@163.com)
    HE Xiao-hai,born in 1964,Ph.D,professor,Ph.D supervisor.His main research interests include image processing,pattern recognition and image communication.
  • Supported by:
    National Natural Science Foundation of China (61871279) and Chengdu Industrial Cluster Collaborative Innovation Project(2016-XT00-00015-GX).

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Abstract: Video compressed by HEVC has an obvious compression effect under the condition of a high compression ratio and a low bit rate.To solve this problem,a post-processing algorithm of HEVC based on non-local low-rank (NLLR) and adaptive quantization constraint (AQC) prior is proposed.This algorithm firstly constructs the optimization problem within the maximum priori probability framework.Then,the decoded compressed video and quantization parameters QP are used to obtain the NLLR and AQC prior information.Finally,the split-Bregman iterative algorithm is used to solve the optimization problem,so as to effectively remove the compression effect and improve the quality of reconstructed video.Among them,the NLLR prior is obtained by constructing the non-local low-rank model based on similar-block clustering.The AQC prior is obtained by combining the constraint characteristics under different quantization parameters QP and the DCT domain block activity of video.Experimental results show that the proposed algorithm can achieve an average PSNR improvement of 0.259 7 dB in intra-frame coding mode and an average PSNR improvement of 0.282 8 dB in inter-frame coding mode compared with HEVC standard at the same bit rate.

Key words: Adaptive quantization constraint, HEVC post-processing, Non-local low-rank prior, Split-Bregman iteration algorithm

CLC Number: 

  • TN919.8
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