Steganalysis to Data Hiding of VQ Watermarking Upon Grouping Strategy
Abstract
This paper present a steganalysis method for the data hiding scheme based on VQ-compression. This data hiding algorithm divides the codebook into groups which contain two codewords each. The Euclidean Distance of the group is used instead of a codeword in traditional VQ-compression. A PoV-like effect of Chi-square attack is observed and used as a feature of detection. In the proposed steganalysis, we detect whether an unknown image is a VQ-compressed image or not, and then the target detection of codewords grouping type data hiding methods is proposed. We apply proposed scheme to Yang et al.’s watermarking scheme. A large amount test image database UCID (Uncompressed Colour Image Database) is utilized as various conditions, such as cover imaged, traditional VQ-compressed images, and stego images. The experimental shows that the proposed steganalysis method is able to identify the stego images among others, and the accuracy rate reaches over 90 %.
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