A wavelet watermarking based on HVS and watermarking capacity analysis
In this paper, a wavelet digital watermarking algorithm based on human visual system and watermarking capacity analysis was proposed. Firstly, watermark was scrambled through Arnold transform. Then, the frequency, texture and luminance masking factor of the improvement just noticed difference threshold model can be exploited to compute the watermark embedding intension in wavelet domain. And, with the watermarking capacity analysis, adaptive wavelet coefficients were chosen to embed the watermark. Finally, the watermark embedding intensions further adjust by watermark attack analysis. Experimental results show that this algorithm can get a watermarked image with perceptual invisibility. Moreover, the algorithm is robust to typical watermark attacks such as: noise adding, image filter, cropping and JPEG compression.
Fang Wang-sheng Chen Kang
School of Information Engineering Jiangxi University of Science and Technology, China
国际会议
武汉
英文
822-825
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）