Block Compressive Sensing Based Image Semi-fragile Zero-watermarking Algorithm
基于分块压缩感知的图像半脆弱零水印算法

To aim at content authentication and integrity protection problems in digital image application, a block compressive sensing based image semi-fragile zero-watermarking (BCS-SFZ) algorithm is proposed. Firstly, the image is divided into several sub blocks. The block size can be adjusted according to the data quantity of watermark and tamper localization accuracy. Secondly, each image block is observed in accordance with the theory of compressive sensing. Finally, the measurements are registered and preserved as the zero-watermarking. The experimental results show that BCS-SFZ can accurately locate the illegal tampering and recover the tampered area with the watermark information. The introduction of compressive sensing theory provides secrecy guarantee for the algorithm, and is conducive to synchronization of imaging and generating watermark. Also, the algorithm is simple and has a low computational complexity.