An adaptive data hiding scheme with high embedding capacity and visual image quality based on SMVQ prediction through classification codebooks

This study exploits the characteristics of image blocks to develop an adaptive data hiding scheme that is based on SMVQ prediction. Since human beings’ eyes are highly sensitive to smooth images, changes in smooth cause great distortion and attract the attention of interceptors. Hence, this study pr...

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Bibliographic Details
Published in:Image and vision computing 2010-08, Vol.28 (8), p.1293-1302
Main Authors: Lee, Chin-Feng, Chen, Hsing-Ling, Lai, Shu-Hua
Format: Article
Language:English
Subjects:
Classification
Data hiding
Distortion
Embedding capacity
Eyes
Human beings
Image quality
Image quality of stego-image
Side-match vector quantization
SMVQ prediction
Vision
Visual
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Summary:This study exploits the characteristics of image blocks to develop an adaptive data hiding scheme that is based on SMVQ prediction. Since human beings’ eyes are highly sensitive to smooth images, changes in smooth cause great distortion and attract the attention of interceptors. Hence, this study proposes a data embedding scheme for embedding secret data into edge blocks and non-sufficiently smooth blocks. The experimental results show that the proposed scheme improves the quality of the stego-image and the embedding capacity.
ISSN:0262-8856
1872-8138
DOI:10.1016/j.imavis.2010.01.006