Two-Layer Reversible Data Hiding for VQ-Compressed Images Based on De-Clustering and Indicator-Free Search-Order Coding

Chin-Chen Chang, Jui-Feng Chang, Wei-Jiun Kao and Ji-Hwei Horng
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Chin-Chen Chang: Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan
Jui-Feng Chang: Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan
Wei-Jiun Kao: Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan
Ji-Hwei Horng: Department of Electronic Engineering, National Quemoy University, Kinmen 89250, Taiwan

Future Internet, 2021, vol. 13, issue 8, 1-19

Abstract: During transmission of digital images, secret messages can be embedded using data hiding techniques. Such techniques can transfer private secrets without drawing the attention of eavesdroppers. To reduce the amount of transmitted data, image compression methods are widely applied. Hiding secret data in compressed images is a hot issue recently. In this paper, we apply the de-clustering concept and the indicator-free search-order coding (IFSOC) technique to hide information into vector quantization (VQ) compressed images. Experimental results show that the proposed two-layer reversible data hiding scheme for IFSOC-encoded VQ index table can hide a large amount of secret data among state-of-the-art methods with a relatively lower bit rate and high security.

Keywords: data hiding; VQ compression; de-clustering; indicator-free search-order coding (IFSOC) (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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