Performance evaluation of an incorporated DCT block-based watermarking algorithm with human visual system model

Authors:
Mohammad Eyadat;Shantaram Vasikarla
Affiliations:
Computer Information Systems Department, California State University, Dominguez Hills, 1000 East Victoria St, Carson, CA 90747, United States;Information Technology Department, American Intercontinental University, California, United States
Venue:
Pattern Recognition Letters
Year:
2005

Citing 2
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Abstract

In this paper we propose a new approach to predict a fixed fidelity level of a watermarked image while increasing the detection rate. The new approach incorporates a DCT block-based algorithm with human visual system (HVS). The performance of the new approach has been defined in terms of its effectiveness (detection rate) and fidelity. We show experimentally how our novel approach can be used to control distribution of a watermark to get a higher detection rate as well as better fidelity.