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JBE, vol. 22, no. 5, pp.643-651, September, 2017
A Statistical Approach for Improving the Embedding Capacity of Block Matching based Image Steganography
Jaeyoung Kim, Hanhoon Park, and Jong-Il Park
C.A E-mail: email@example.com
Steganography is one of information hiding technologies and discriminated from cryptography in that it focuses on avoiding the existence the hidden information from being detected by third parties, rather than protecting it from being decoded. In this paper, as an image steganography method which uses images as media, we propose a new block matching method that embeds information into the discrete wavelet transform (DWT) domain. The proposed method, based on a statistical analysis, reduces loss of embedding capacity due to inequable use of candidate blocks. It works in such a way that computes the variance of each candidate block, preserves candidate blocks with high frequency components while reducing candidate blocks with low frequency components by compressing them exploiting the k-means clustering algorithm. Compared with the previous block matching method, the proposed method can reconstruct secret images with similar PSNRs while embedding higher-capacity information.
Keyword: Image steganography, block matching, discrete wavelet transform, high capacity, block variance, statistical analysis
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