Robust Image-Adaptive Data Hiding: Modeling, Source Coding, and Channel Coding

K. Solanki, O. Dabeer, U. Madhow, B. S. Manjunath, and S. Chandrasekaran
Dept. of Electrical and Computer Engineering
University of California at Santa Barbara,
Santa Barbara, CA 93106
Email: {solanki, onkar, madhow, manj, shiv}


This paper provides a summary of our work over the past two years on robust, high-volume data hiding in images. We first present a basic framework for image-adaptive hiding, which allows selection of the coeficients in which to hide, and employs powerful "turbo-like" erasures and errors codes in a novel manner to prevent desynchronization of encoder and decoder due to selective embedding. This coding framework provides robustness against a variety of attacks, including compression, tampering and moderate resizing. Next, we provide a joint source-channel coding scheme for image-in-image hiding, in which the quality of the recovered signature image is better if the attack is milder. This is achieved by hybrid digital-analog hiding. Finally, we present preliminary results on hiding techniques that survive printing and scanning. The techniques are devised after experimental modeling of the print-scan channel.

[PDF] [BibTex]
K. Solanki, O. Dabeer, U. Madhow, B. S. Manjunath and Shiv Chandrasekaran,
41st Allerton Conference on Communications, Control, and Computing, Oct. 2003.
Node ID: 358 , DB ID: 156 , VRLID: 125 , Lab: VRL , Target: Conference
Subject: [Digital Watermarking and Data Hiding] « Look up more