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

作　　者：肖迪 蔡洪坤 郑洪英 

机构地区：[1]Key Laboratory of Dependable Service Computing in Cyber Physical Society(Chongqing University) of Chinese Ministry of Education,College of Computer Science,Chongqing University

出　　处：《Chinese Physics B》2015年第6期198-206,共9页中国物理B（英文版）

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)

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.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.

关 键 词：joint encryption and watermarking compressive sensing CHAOS Arnold map 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]