Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146384
Title: A framework for optimal blind watermark detection
Authors: Chen T.P.
Chen T. 
Keywords: Blind watermark detection
Gaussian mixture
Human visual system
Maximum-likelihood detection
Public watermark
Issue Date: 2001
Citation: Chen T.P., Chen T. (2001). A framework for optimal blind watermark detection. Proceedings of the ACM International Multimedia Conference and Exhibition (II) : 11-14. ScholarBank@NUS Repository.
Abstract: We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework. We demonstrate this framework in both the pixel domain and the transform domain, and show that our detector outperforms others because of 1) better modeling of the probability distribution of the original image, and 2) consideration to the human visual system in this framework.
Source Title: Proceedings of the ACM International Multimedia Conference and Exhibition
URI: http://scholarbank.nus.edu.sg/handle/10635/146384
Appears in Collections:Staff Publications

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