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Progressive exponential clustering-based steganography

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journal contribution
posted on 2010-01-01, 00:00 authored by Chang-Tsun LiChang-Tsun Li, Y Li
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.

History

Journal

EURASIP journal on advances in signal processing

Volume

2010

Article number

212517

Pagination

1-14

Location

Cairo, Egypt

Open access

  • Yes

ISSN

1687-6172

eISSN

1687-6180

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2010, Chang-Tsun Li and Yue Li

Publisher

Hindawi Publishing Corporation

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