학술논문

Watermarking based on duality with distributed source coding and robust optimization principles
Document Type
Conference
Source
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Image processing - ICIP 2000 Image Processing, 2000. Proceedings. 2000 International Conference on. 1:585-588 vol.1 2000
Subject
Signal Processing and Analysis
Computing and Processing
Watermarking
Source coding
Decoding
AWGN
Channel coding
Additive white noise
Data encapsulation
Rate-distortion
Noise robustness
Electronic mail
Language
ISSN
1522-4880
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.