ICIP 2006, Atlanta, GA

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Session:Denoising - I
Time:Tuesday, October 10, 09:40 - 12:20
Presentation: Poster
Topic: Image & Video Restoration and Enhancement: Denoising
Authors: Florian Luisier; Ecole Polytechnique Fédérale de Lausanne (EPFL) 
 Thierry Blu; Ecole Polytechnique Fédérale de Lausanne (EPFL) 
 Michael Unser; Ecole Polytechnique Fédérale de Lausanne (EPFL) 
Abstract: We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per subband which are set by minimizing Stein's unbiased MSE estimate (SURE). Our approach assumes additive Gaussian white noise. In order for the inter-scale dependencies to be faithfully taken into account, we also develop a rigorous feature alignment processing, that is adapted to arbitrary wavelet filters (e.g. non-symmetric filters). Finally, we demonstrate the efficiency of our denoising approach in simulations over a wide range of noise levels for a representative set of standard images.