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Proceedings Paper

A novel data hiding scheme for block truncation coding compressed images using dynamic programming strategy
Author(s): Ching-Chun Chang; Yanjun Liu; Son T Nguyen
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Paper 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.

Paper Details

Date Published: 4 March 2015
PDF: 10 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431Q (4 March 2015); doi: 10.1117/12.2179686
Show Author Affiliations
Ching-Chun Chang, National Central Univ. (Taiwan)
Yanjun Liu, Anhui Univ. (China)
Son T Nguyen, Tra Vinh University (Viet Nam)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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