Robust optimization solution to the data hiding problem using distributed source coding principles

Jim C. Chou; S. Sandeep Pradhan; Laurent El Ghaoui; Kannan Ramchandran

doi:10.1117/12.382959

19 April 2000 Robust optimization solution to the data hiding problem using distributed source coding principles

Jim C. Chou, S. Sandeep Pradhan, Laurent El Ghaoui, Kannan Ramchandran

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.382959
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

Inspired by a recently proposed constructive framework for the distributed source coding problem, we propose a powerful constructive approach to the watermarking problem, emphasizing the dual roles of 'source codes' and 'channel codes.' In our framework, we explore various source and channel codes to achieve watermarks that are robust to attackers in terms of maximizing the distortion between the corrupted coded-source signal and the original signal while holding the distortion between the coded-source signal and the original signal constant. We solve the resulting combinatorial optimization problem using an original technique based on robust optimization and convex programming.

Citation Download Citation

Jim C. Chou, S. Sandeep Pradhan, Laurent El Ghaoui, and Kannan Ramchandran "Robust optimization solution to the data hiding problem using distributed source coding principles", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382959

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