关键词: 压缩感知, 数字水印, 水印攻击, 鲁棒性, 安全性

Abstract: As an emerging sample theory, compressive sensing attracts wide attention because it breaks through the Nyquist sampling theorem. , Two different methods of watermark embedding and extraction are presented by measuring the carrier image and watermark image respectively based on compressive sensing. Moreover, the attack tests, such as the Gaussian noise, pepper and salt noise, filtering, compression, and cropping, are implemented to watermarked images. Experiment results show that although the two different methods for image watermarking have different processing procedure, both can guarantee the robustness and security of embedded digital watermark.

Key words: compressive sensing, digital watermark, watermark attack, robustness, security