S.Voloshynovskiy, O.Koval, F.Deguillaume, and T. Pun, , "Data hiding capacity analysis for real images based on stochastic non-stationary geometrical models", in IS&T/SPIE's annual Symposium, Electronic Imaging 2003: Security and Watermarking of Multimedia Content, Santa Clara, California USA, 20-24 Jan. 2003.  Home/Search Document Details and Download
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This paper is cited in the following contexts:
Wavelet-Based Image Denoising Using Non-Stationary.. - Voloshynovskiy, Koval, .. (2003) Self-citation (Voloshynovskiy Koval Pun) (Correct)
....mentioned, the main open issue of the EP model is the reliable estimation of the model parameters in the presence of noise. Therefore, we will concentrate on the solution to this problem in our ongoing research, and will exploit it for other applications such as image compression and watermarking [22] where noise is not a critical issue. 7. ACKNOWLEDGEMENTS This work was partially supported by the Swiss SNF Grant No 21 064837.01 Generalized stochastic image modelling for image denoising, restoration and compression and by the Swiss Interactive Multimodal Information Management (IM2) ....
S.Voloshynovskiy, O.Koval, F.Deguillaume, and T. Pun, , "Data hiding capacity analysis for real images based on stochastic non-stationary geometrical models", in IS&T/SPIE's annual Symposium, Electronic Imaging 2003: Security and Watermarking of Multimedia Content, Santa Clara, California USA, 20-24 Jan. 2003.
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