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Hai Fang

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Proceedings Article | 6 May 2019 Paper

Reversible data hiding for block truncation coding compressed color images

Hai Fang, Quan Zhou

Proceedings Volume 11069, 110691A (2019) https://doi.org/10.1117/12.2524368

KEYWORDS: Image compression, Data hiding, Image quality, Distortion, Image processing, Visualization, Data communications, Data processing

Read Abstract +

In this paper, a reversible data hiding method aims at block truncation coding compressed color images is proposed, which can reconstruct the original compressed image effectively after extracting the embedded secret data. In order to improve the compression quality, a mean absolute deviation based clustering is applied to find an approximate optimal common bitmap. The common bitmap is used to get the quantization levels of each block in each color channel. The secret data are then embedded in the quantization levels of each block by the histogram shifting method and quantization level patterns based method. Experimental results show that the proposed method outperforms the existing reversible data hiding methods for BTC-compressed color images in terms of hiding capacity and visual quality.

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