M.Kankanhalli, R.Ramakrishnan: Content Based Watermarking of Images, ACM Mulimedia98, Bristol, UK, 1998, pp. 61-70.  Home/Search   Document Not in Database   Summary   Related Articles

....of interest for the embedding. This approach has the advantage that it is applicable for very different types of images and is not constrained with the identification of an adequate set of parameters to be determined before the identification of the local charactersitics as it is the case in [8]. In addition, the approach presented may be applied to different domains, such as coordinate, Fourier and wavelet. We show the interrelationship to the image denoising problem and prove that some of the applied techniques are special cases of our approach. Comparing the derived stochastic models ....

....to distortion than highly textured areas; 3) darker and brighter regions of the image are less sensitive to noise. The typical examples of this 1 This work has been supported by the Swiss National Science Foundation (Grant 5003 45334) and the EC Jedi Fire project (Grant 25530) 3 approach are ([8], 9] The developed methods consist of a set of empirical procedures aimed to satisfy the above requirements. The computational complexity and the absence of closed form expressions for the perceptual mask complicate the analysis of the received results. However, experiments performed in these ....

M.Kankanhalli, R.Ramakrishnan: Content Based Watermarking of Images, ACM Mulimedia98, Bristol, UK, 1998, pp. 61-70.

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