Steganographic method for colour image using expandable progressive exponential clustering

Chang Tsun Li, Yue Li

Research output: Book chapter/Published conference paperConference paper

Abstract

In this work, we propose a steganographic scheme based on an expandable progressive exponential clustering (EPEC) algorithm for embedding secret message in colour images, which aims to achieve high embedding capacity while keeping distortion low. The EPEC algorithm partitions the colour table into clusters of size equal to a power of 2 so that embeddable pixels can be used efficiently. Our experiments also prove that by adding 'virtual' colours in an informed manner to the colour table of images with significant low-frequency components can significantly increase the embedding capacity without inflicting distortion on the stego-images.

Original languageEnglish
Title of host publicationProceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
Pages495-500
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 - Cairns, Australia
Duration: 21 Feb 200723 Feb 2007

Conference

Conference2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
CountryAustralia
CityCairns
Period21/02/0723/02/07

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