PMID: 16519352Mar 8, 2006Paper

Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Aleksandra Pizurica, Wilfried Philips

Abstract

We develop three novel wavelet domain denoising methods for subband-adaptive, spatially-adaptive and multivalued image denoising. The core of our approach is the estimation of the probability that a given coefficient contains a significant noise-free component, which we call "signal of interest." In this respect, we analyze cases where the probability of signal presence is 1) fixed per subband, 2) conditioned on a local spatial context, and 3) conditioned on information from multiple image bands. All the probabilities are estimated assuming a generalized Laplacian prior for noise-free subband data and additive white Gaussian noise. The results demonstrate that the new subband-adaptive shrinkage function outperforms Bayesian thresholding approaches in terms of mean-squared error. The spatially adaptive version of the proposed method yields better results than the existing spatially adaptive ones of similar and higher complexity. The performance on color and on multispectral images is superior with respect to recent multiband wavelet thresholding.

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Citations

Mar 27, 2012·International Journal of Computer Assisted Radiology and Surgery·Sean Jy-Shyang ChenD Louis Collins
Apr 4, 2009·International Journal of Biomedical Imaging·Nawrès KhlifaKamel Hamruoni
Apr 2, 2014·TheScientificWorldJournal·Volodymyr I PonomaryovHeydy Castillejos
Nov 5, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Honghong PengSohail A Dianat
Mar 20, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Pantelis BouboulisSergios Theodoridis
Jul 29, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Adrian Barbu
Sep 12, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·S M Mahbubur RahmanM N S Swamy
Sep 6, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Lei ZhangDavid Zhang
Sep 5, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Nai-Xiang LianYap-Peng Tan
Mar 11, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Lei ZhengDavid Zhang
May 12, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Alessandro FoiKaren Egiazarian
May 12, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Stefan SchulteEtienne E Kerre
Oct 7, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Charles Kervrann, Jérôme Boulanger
May 6, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Bart GoossensWilfried Philips
Nov 14, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Ming Zhang, Bahadir K Gunturk
Aug 11, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Kostadin DabovKaren Egiazarian
Mar 16, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Florian LuisierMichael Unser
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Aug 15, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sathish RamaniMichael Unser
Jul 10, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Hancheng YuHaixian Wang
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