Document Type
Dissertation
Date of Award
Summer 8-31-1999
Degree Name
Doctor of Philosophy in Electrical Engineering - (Ph.D.)
Department
Electrical and Computer Engineering
First Advisor
Yun Q. Shi
Second Advisor
Michael Fang
Third Advisor
Joseph Frank
Fourth Advisor
Constantine N. Manikopoulos
Fifth Advisor
Zoran Siveski
Abstract
The detection and robustness of the watermark signal is studied from a communications point of view. The contributions of this dissertation are presented in two parts. The first part, which covers the detection aspect, introduces a new digital image watermarking approach that embeds meaningful information in a copyright protection watermark signal; demonstrates the need to approach the watermark signal as a power-constrained signal; studies the relationship between the watermark signal dimension and the image capacity to the signal; explains the similarities and differences between detecting the watermark signal and detecting a signal over a spread-spectrum communication channel; and analyzes the application of sequence detection techniques (MAPSD and MLSD) to the watermark signal. The second part, which covers the robustness aspect, introduces a novel multidimensional interleaving algorithm that increases the signal's robustness against burst errors; presents, analyzes, and compares two techniques for implementing the algorithm (a sliding window technique and a successive partitioning technique); and demonstrates the increase in watermark signal robustness as a result of applying this multidimensional interleaving. This increase of the signal's robustness is shown in the 2-D case by applying the 2-D version of the interleaving algorithm to watermark signals embedded in still images (where the signal layout is in 2-D), and in the 3-D case by applying the 3-D version of the interleaving algorithm to watermark signals embedded in video sequences (where the signal layout is in 3-D).
Recommended Citation
Elmasry, George F., "Detection and robustness of digital image watermarking signals : a communication theory approach" (1999). Dissertations. 970.
https://digitalcommons.njit.edu/dissertations/970
