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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