Image hiding by LSB matching of higher payload

Shang Kuan Chen*, Chih_Ching Lin

*Corresponding author for this work

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

1 Scopus citations

Abstract

LSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.

Original languageEnglish
Title of host publicationProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Pages468-471
Number of pages4
DOIs
StatePublished - 1 Dec 2012
Event2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu, Japan
Duration: 25 Aug 201228 Aug 2012

Publication series

NameProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

Conference

Conference2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
CountryJapan
CityKitakyushu
Period25/08/1228/08/12

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