摘要
Abstract
Since compressive perception has the characteristics of short compression,decoding complexity and strong ro-bustness,a new digital image watermark algorithm based on compressive perception is proposed. The algorithm overcame the shortcoming that the sparsity is unknown in signal reconstruction,and enhanced the function to resist illegal extraction and pre-vent damage of digital watermark system. When watermark is embedded,the high-frequency coefficients of the watermark are measured by the constructed Bernoulli matrix,and then the watermark is embedded in the low-frequency coefficients of the image. As for the watermark extraction,the regularized adaptive matching pursuit(RAMP)algorithm is used to recover the high-frequency coefficients,and make them combined with the preserved low-frequency coefficients to obtain the reconstructed water-mark. Compared with the original compressed sensing algorithm,The experimental results demonstrate that the proposed algo-rithm is better than the original compressive perception algorithm in reconstruction accuracy and time consumption,and has good robustness,high transparency and security.关键词
数字水印/压缩感知/RAMP算法/水印重构Key words
digital watermark/compressive perception/RAMP algorithm/watermark reconstruction分类
信息技术与安全科学
