4 March 2015 A novel data hiding scheme for block truncation coding compressed images using dynamic programming strategy
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94431Q (2015) https://doi.org/10.1117/12.2179686
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Data hiding is a technique that embeds information into digital cover data. This technique has been concentrated on the spatial uncompressed domain, and it is considered more challenging to perform in the compressed domain, i.e., vector quantization, JPEG, and block truncation coding (BTC). In this paper, we propose a new data hiding scheme for BTC-compressed images. In the proposed scheme, a dynamic programming strategy was used to search for the optimal solution of the bijective mapping function for LSB substitution. Then, according to the optimal solution, each mean value embeds three secret bits to obtain high hiding capacity with low distortion. The experimental results indicated that the proposed scheme obtained both higher hiding capacity and hiding efficiency than the other four existing schemes, while ensuring good visual quality of the stego-image. In addition, the proposed scheme achieved a low bit rate as original BTC algorithm.
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Ching-Chun Chang, Ching-Chun Chang, Yanjun Liu, Yanjun Liu, Son T Nguyen, Son T Nguyen, } "A novel data hiding scheme for block truncation coding compressed images using dynamic programming strategy", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431Q (4 March 2015); doi: 10.1117/12.2179686; https://doi.org/10.1117/12.2179686
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