• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2020, Vol. 42 ›› Issue (09): 1572-1577.

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Quality compensation analysis of the watermarking  method based on singular matrix robustness

WANG Wen-bing1,2,LIU Sheng-li1   

  1. (1.School of Cyberspace Security,PLA Strategic Support Force Information Engineering University,Zhengzhou 450001;

    2.College of Software Engineering,Zhengzhou University of Light Industry,Zhengzhou 450000,China)

  • Received:2020-02-11 Revised:2020-04-04 Accepted:2020-09-25 Online:2020-09-25 Published:2020-09-24

Abstract: The quality compensation for the watermarking method based on the singular matrix robustness can improve the invisibility of watermarks to some extent. To optimize the compensation parameters, the paper analyzes the embedding principle of the watermarking method, finds out the relationship between pixel modifications and singular matrix changes, and studies the variation rules of pixels before and after quality compensation, thereby obtaining the optimal compensation parameters. Based on the optimal parameters, the paper further studies the relationship between quality compensation and robustness, and determines these factors that affect the compensation effect. The final experiments verify the quality compensation effect, and the comparison with similar methods proves that the proposed quality compensation method can improve the performance of watermarking.



Key words: robust watermarking, singular value decomposition, quality compensation