Watermarking based on duality with distributed source coding androbust optimization principles
Chou, J.
Pradhan, S.S.
El Ghaoui, L.
Ramchandran, K.
California Univ., Berkeley, CA;
This paper appears in: Image Processing, 2000. Proceedings. 2000 International Conference on
Publication Date: 2000
Volume: 1,
On page(s): 585-588 vol.1
Meeting Date: 09/10/2000 - 09/13/2000
Location: Vancouver, BC, Canada
ISBN: 0-7803-6297-7
References Cited: 14
INSPEC Accession Number: 6990908
Digital Object Identifier: 10.1109/ICIP.2000.901026
Current Version Published: 2002-08-06
Abstract
Inspired by a previously proposed constructive framework for the
distributed source coding problem. We propose a powerful constructive
approach to the watermarking problem, emphasizing the dual rules of
distributed source coding with side information at the decoder and
channel coding with side information at the encoder. In our framework,
we explore various source and channel codes to close the gap on the
achievable capacity of watermarking systems. We propose two methods of
solution, one which is based on optimal rate-distortion quantizers and
the other based on robust optimization and convex programming. The
resulting watermarking schemes, when subjected to additive white
gaussian noise (AWGN) attacks, achieve results which are comparable to
or better than the best watermarking schemes in the literature
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