Design of optimal blind watermarking technique based on MOEA/D

作     者：Mun, Kwanghyok Son, Cholmin 

作者机构：Kim Chaek Univ Technol Fac Appl Math Pyongyang North Korea 

出 版 物：《IET IMAGE PROCESSING》 (IET影像处理)

年 卷 期：2020年第14卷第16期

页      面：4368-4375页

核心收录：

学科分类：0808[工学-电气工程] 1002[医学-临床医学] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：image watermarking image coding Pareto optimisation discrete cosine transforms evolutionary computation performance evaluation optimal blind watermarking technique image watermarking watermarked image quality rational watermarking method multiobjective evolutionary algorithm based on decomposition multiobjective optimisation problem human visual characteristics host image MOEA D performance evaluation frequency coefficients discrete cosine transform approximate Pareto set 

摘      要：In image watermarking, the quality of the watermarked image and the watermark s robustness are the main indicators for evaluating the performance of the watermarking scheme, but they contradict each other, making it difficult to design a rational watermarking method. In this study, the multi-objective evolutionary algorithm based on decomposition (MOEA/D) is employed to solve the multi-objective optimisation problem to ensure the balance between contradictory objectives. The watermark is embedded by selecting the regions with the lowest human visual characteristics in the host image and modifying the frequency coefficients of the discrete cosine transform. At this time, the determination of the positions of embedding coefficients and parameters related to the modifications results in the multi-objective optimisation problem on the robustness and imperceptibility, and the optimal solution is determined by finding the approximate Pareto set. Simulation results for various attacks on watermarked images demonstrate the effectiveness of the proposed watermarking technique.