An Adaptive Image Watermarking Scheme Based on Support Vector Machine and Genetic Algorithm
MENG Fan-Man1, PENG Hong1,3, PEI Zheng1, WANG Jun2
1.School of Mathematics and Computer Engineering, Xihua University, Chengdu 610039 2.School of Electrical and Information Engineering, Xihua University, Chengdu 610039 3.School of Electronic Engineering, University of Electronic Science & Technology of China, Chengdu 610054
Abstract An adaptive blind image watermarking scheme in DCT domain is proposed based on support vector machine (SVM) and genetic algorithm (GA). The original image is divided into small image blocks, and then SVM is used to classify image blocks into several classes based on their local characteristics. The embedding strength of each block is adaptively determined according to the types of the image block, and GA is used to seek optimal embedding positions. Experimental results demonstrate that the proposed scheme has good invisibility and strong robustness against several attacks.
MENG Fan-Man,PENG Hong,PEI Zheng等. An Adaptive Image Watermarking Scheme Based on Support Vector Machine and Genetic Algorithm[J]. , 2009, 22(2): 312-317.
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2009, Vol. 22 
