Ching-Yung Lin. Watermarking and Digital Signature Techniques for Multimedia Authentication and Copyright Protection. PhD Thesis Graduate School of Arts and Sciences, Columbia University, 2000.
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Advisor: Prof. Chang
Multimedia authentication techniques are required in order to ensure trustworthiness of multimedia data. They are usually designed based on two kinds of tools: digital signature or watermarking. Digital signature is a non-repudiatible, encrypted version of the message digest extracted from the data. Watermarking techniques consider multimedia data as a communication channel transmitting owner identification or content integrity information. Given an objective for multimedia authentication to reject the crop-and-replacement process and accept content-preserving manipulations, traditional digital signature or watermarking methods cannot be directly applied. In this thesis, we first propose robust digital signature methods that have proved to be useful for such types of content authentication. Also, we have developed a novel semi-fragile watermarking technique to embed the proposed robust digital signatures. We have implemented a unique Self-Authentication-and-Recovery Images (SARI) system, which can accept quantization-based lossy compression to a determined degree without any false alarms and can sensitively detect and locate malicious manipulations. Furthermore, the corrupted areas can be approximately recovered by the information hidden in the other part of the content. The amount of information embedded in our SARI system has nearly reached the theoretical maximum zero-error information hiding capacity of digital images. Watermarking is a promising solution that can protect the copyright of multimedia data through transcoding. A reasonable expectation of applying watermarking techniques for copyright protection is to consider specific application scenarios, because the distortion behavior involved in these cases (geometric distortion and pixel value distortion) could be reasonably predictable. We propose a practical public watermarking algorithm that is robust to rotation, scaling, and/or translation (RST) distortion. This proposed algorithm plays an important role in our design of the public watermarking technique which survives the image print-and-scan process. In addition, we present our original work in analyzing the theoretical watermarking capacity bounds for digital images, based on the information theory and the characteristics of the human vision system. We investigate watermarking capacity in three directions: the zero-error capacity for public watermarking in magnitude-bounded noisy environments, the watermarking capacity based on domain-specific masking effects, and the watermarking capacity issues based on sophisticated Human Vision System models
@PhdThesis{dvmmPub100,
Author = {Lin, Ching-Yung},
Title = {Watermarking and Digital Signature Techniques for Multimedia Authentication and Copyright Protection},
School = {Graduate School of Arts and Sciences, Columbia University},
Year = {2000}
}
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