DIGITAL IMAGE WATERMARKING BASED ON BAYESIAN COMPRESSIVE SENSING

被引:0
作者
Lv, Jun [1 ]
Li, Xiu-Mei [1 ]
机构
[1] Hangzhou Normal Univ, Sch Informat Sci & Engn, Hangzhou, Zhejiang, Peoples R China
来源
2017 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR) | 2017年
基金
中国国家自然科学基金;
关键词
Compressive Sensing; Digital Watermarking; Bayesian Compressive Sensing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A digital watermarking method based on Bayesian compressive sensing (BCS) is proposed in this paper. The watermark is embedded in the wavelet domain using the measurement matrix, and the watermarking extraction is accomplished using the Bayesian compressive sensing. Comparisons of watermarking extraction and anti-attack are given using orthogonal matching pursuit (OMP), basis pursuit (BP), and BCS. The experiments show that, compared with OMP and BP, the proposed watermarking method based on the BCS can provide improved performance, in terms of PSNR and NC, without much computational time.
引用
收藏
页码:59 / 64
页数:6
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