Steganography scheme based on side match vector quantization

Lee S. Chen; Chih-Ching Lin

doi:10.1117/1.3366654

Steganography scheme based on side match vector quantization

Lee S. Chen^*, Chih-Ching Lin

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

We propose a steganographic method that is based on side match vector quantization (SMVQ). The secret data are encrypted and then embedded in an SMVQ-decompressed image. In the decoding process, both the hidden secret and the original SMVQ code can be reconstructed without any error. Experimental results demonstrate that the proposed method provides a high hiding capacity and acceptable stego-image quality, to an extent comparable to a well-known SMVQ-based reversible steganographic method.

Original language	English
Article number	037008
Journal	Optical Engineering
Volume	49
Issue number	3
DOIs	https://doi.org/10.1117/1.3366654
State	Published - 1 Dec 2010

Keywords

data hiding
reversible
triangular inequality
ξ-square analysis

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AB - We propose a steganographic method that is based on side match vector quantization (SMVQ). The secret data are encrypted and then embedded in an SMVQ-decompressed image. In the decoding process, both the hidden secret and the original SMVQ code can be reconstructed without any error. Experimental results demonstrate that the proposed method provides a high hiding capacity and acceptable stego-image quality, to an extent comparable to a well-known SMVQ-based reversible steganographic method.

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KW - triangular inequality

KW - ξ-square analysis

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Steganography scheme based on side match vector quantization

Abstract

Keywords

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