Reversible data hiding for block truncation coding compressed color images

Hai Fang; Quan Zhou

doi:10.1117/12.2524368

6 May 2019 Reversible data hiding for block truncation coding compressed color images

Hai Fang, Quan Zhou

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110691A (2019) https://doi.org/10.1117/12.2524368
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

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.

Citation Download Citation

Hai Fang and Quan Zhou "Reversible data hiding for block truncation coding compressed color images", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110691A (6 May 2019); https://doi.org/10.1117/12.2524368

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KEYWORDS

Image compression

Data hiding

Image quality

Distortion

Image processing

Data communications

Data processing

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