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» A Non-Local Algorithm for Image Denoising
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TIP
2008
205views more  TIP 2008»
13 years 7 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
ICIP
2008
IEEE
14 years 9 months ago
Photon-limited image denoising by inference on multiscale models
We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
Stamatios Lefkimmiatis, George Papandreou, Petros ...
ISBI
2007
IEEE
14 years 2 months ago
Fast Wavelet-Regularized Image Deconvolution
We present a modified version of the deconvolution algorithm introduced by Figueiredo and Nowak, which leads to a substantial acceleration. The algorithm essentially consists in ...
Cédric Vonesch, Michael Unser
SCALESPACE
2009
Springer
14 years 2 months ago
An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation
We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. O...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
ECCV
2008
Springer
14 years 9 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher