Progressive exponential clustering-based steganography

Chang Tsun Li, Yue Li

Research output: Contribution to journalArticlepeer-review

Abstract

Cluster indexing-based steganography is an important branch of data-hiding techniques. Such schemes normally achieve good balance between high embedding capacity and low embedding distortion. However, most cluster indexing-based steganographic schemes utilise less efficient clustering algorithms for embedding data, which causes redundancy and leaves room for increasing the embedding capacity further. In this paper, a new clustering algorithm, called progressive exponential clustering (PEC), is applied to increase the embedding capacity by avoiding redundancy. Meanwhile, a cluster expansion algorithm is also developed in order to further increase the capacity without sacrificing imperceptibility.

Original languageEnglish
Article number212517
JournalEurasip Journal on Advances in Signal Processing
Volume2010
DOIs
Publication statusPublished - 2010

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