Lossless data hiding for color images based on block truncation coding

Authors:
Chin-Chen Chang;Chih-Yang Lin;Yi-Hsuan Fan
Affiliations:
Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan, ROC and Department of Computer Science and Information Engineeri ...;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan, ROC;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan, ROC
Venue:
Pattern Recognition
Year:
2008

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Abstract

In this paper, we present a novel, reversible steganographic method, which can reconstruct an original image effectively after extracting the embedded secret data. The proposed reversible hiding method aims at BTC (block truncation coding)-compressed color images. Conventionally, each block of a color image compressed by BTC requires three bitmaps and three pairs of quantization levels for reconstruction. In order to improve the compression rate, a genetic algorithm (GA) is applied to find an approximate optimal common bitmap to replace the original three. The secret data then are embedded in the common bitmap and the quantization levels of each block use the properties of side matching and the order of these quantization levels to achieve reversibility. The experimental results demonstrate that the proposed method is practical for BTC-compressed color images and can embed more than three bits in each BTC-encoded block on average.