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SIAMSC
2010
194views more  SIAMSC 2010»
13 years 6 months ago
A Multilevel Algorithm for Simultaneously Denoising and Deblurring Images
In this paper, we develop a fast multilevel algorithm for simultaneously denoising and deblurring images under the total variation regularization. Although much effort has been de...
Raymond H. Chan, Ke Chen 0002
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
TIP
2008
213views more  TIP 2008»
13 years 6 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
IPAS
2008
13 years 10 months ago
Deblurring noisy radial-blurred images: spatially adaptive filtering approach
The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal ...
Giacomo Boracchi, Alessandro Foi, Vladimir Katkovn...
ICIP
2002
IEEE
14 years 9 months ago
A curve evolution-based variational approach to simultaneous image restoration and segmentation
In this paper, we introduce a novel approach for simultaneous restoration and segmentation of blurred, noisy images by approaching a variant of the Mumford-Shah functional from a ...
Alan S. Willsky, Andy Tsai, Junmo Kim, Müjdat...