Steganographic Scheme for VQ Compressed Images Using Progressive Exponential Clustering

Authors:
Yue Li;Chang-Tsun Li
Affiliations:
University of Warwick, UK;University of Warwick, UK
Venue:
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Year:
2006

Citing 0
Cited 2

Adaptive embedding techniques for VQ-compressed images

Information Sciences: an International Journal
Progressive exponential clustering-based steganography

EURASIP Journal on Advances in Signal Processing

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Abstract

In this work, we propose a steganographic scheme for embedding secret message in VQ-compressed images, which aims to achieve high embedding capacity while keeping distortion low. To achieve these objectives, we develop a progressive exponential clustering (PEC) algorithm for partitioning the VQ codebook into a set of clusters. To embed the secret message based on the clustering, we substitute the indexes of the codewords with others within the same cluster according to the size of the cluster and the secret message bits.