A joint image encryption and watermarking algorithm based on compressive sensing and chaotic map

作     者：肖迪 蔡洪坤 郑洪英 

作者机构：Key Laboratory of Dependable Service Computing in Cyber Physical Society(Chongqing University) of Chinese Ministry of EducationCollege of Computer ScienceChongqing University 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2015年第24卷第6期

页      面：198-206页

核心收录：

学科分类：08[工学] 0839[工学-网络空间安全] 0805[工学-材料科学与工程（可授工学、理学学位）] 0704[理学-天文学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project supported by the Open Research Fund of Chongqing Key Laboratory of Emergency Communications,China(Grant No.CQKLEC,20140504) the National Natural Science Foundation of China(Grant Nos.61173178,61302161,and 61472464) the Fundamental Research Funds for the Central Universities,China(Grant Nos.106112013CDJZR180005 and 106112014CDJZR185501) 

主　　题：joint encryption and watermarking compressive sensing chaos Arnold map 

摘      要：In this paper, a compressive sensing （CS） and chaotic map-based joint image encryption and watermarking algorithm is proposed. The transform domain coefficients of the original image are scrambled by Arnold map firstly. Then the watermark is adhered to the scrambled data. By compressive sensing, a set of watermarked measurements is obtained as the watermarked cipher image. In this algorithm, watermark embedding and data compression can be performed without knowing the original image; similarly, watermark extraction will not interfere with decryption. Due to the characteristics of CS, this algorithm features compressible cipher image size, flexible watermark capacity, and lossless watermark extraction from the compressed cipher image as well as robustness against packet loss. Simulation results and analyses show that the algorithm achieves good performance in the sense of security, watermark capacity, extraction accuracy, reconstruction, robustness, etc.