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Proceedings Paper

Transform-based hybrid data hiding for improved robustness in the presence of perceptual coding
Author(s): Chuhong Fei; Deepa Kundur; Raymond Kwong
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Paper Abstract

This paper addresses the issue of robust data hiding in the presence of perceptual coding. Two common classes of data hiding schemes are considered: spread spectrum and quantization-based techniques. We identify analytically the advantages of both approaches under the lossy compression class of attacks. Based on our mathematical model, a novel hybrid data hiding algorithm which exploits the best of both worlds is presented. Theoretical and simulation results demonstrate the superior robustness of the resulting hybrid scheme.

Paper Details

Date Published: 5 December 2001
PDF: 10 pages
Proc. SPIE 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications, (5 December 2001); doi: 10.1117/12.449583
Show Author Affiliations
Chuhong Fei, Univ. of Toronto (Canada)
Deepa Kundur, Univ. of Toronto (Canada)
Raymond Kwong, Univ. of Toronto (United States)

Published in SPIE Proceedings Vol. 4475:
Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications
Mark S. Schmalz, Editor(s)

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