关键词: 数字水印, 离散小波变换, 最大均方根, 人眼视觉系统

Abstract: Though many DWT-based watermarking algorithms have been presented, few of them discuss the issue that which detail subband is the better choice to watermark. This paper presented a novel DWT-based watermarking algorithm. This algorithm selected the detail subband with the highest RMS value for watermarking and got good results. Experiment results show that watermarking in this subband is more robust than the other two detail subbands to Gaussian noise and JPEG compression.

Key words: digital watermark, DWT(Discrete Wavelet Transform), Max RMS, HVS(Human Vision System)