Data hiding based on side match vector quantization and modulus function

Lee Shu Teng Chen, Wen Tarn Chang, Suiang Shyan Lee, Chih_Ching Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Side match vector quantization (SMVQ) is an image compression scheme that reduces the redundancy of a digital image. Some data hiding methods utilize SMVQ to embed secret data in an SMVQ-decompressed image, and reconstruct the original SMVQ code after the secret data have been extracted. This work proposes a data hiding scheme that embeds secret data in an SMVQ-decompressed image. A modulus function is utilized to increase the hiding capacity. In decoding, the secret data and the original SMVQ code are reconstructed without any error. Experimental results demonstrate that the proposed method provides a high hiding capacity while maintaining acceptable stego-image quality. Comparisons with previous SMVQ data hiding schemes are also made.

Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
Pages66-69
Number of pages4
DOIs
StatePublished - 28 Dec 2010
Event6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 - Darmstadt, Germany
Duration: 15 Oct 201017 Oct 2010

Publication series

NameProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

Conference

Conference6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
CountryGermany
CityDarmstadt
Period15/10/1017/10/10

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