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JMIV
2007
83views more  JMIV 2007»
14 years 10 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
SIAMSC
2008
145views more  SIAMSC 2008»
14 years 10 months ago
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
Raymond H. Chan, Ke Chen 0002
ICIP
2005
IEEE
15 years 12 months ago
Minimization of detail-preserving regularization functional by Newton's method with continuation
Abstract-- Recently, a two-phase scheme for removing saltand-pepper impulse noise has been proposed [14]. In the first phase, an adaptive median filter is used to identify pixels w...
Raymond H. Chan, Chung-Wa Ho, Chun-Yee Leung, Mila...
80
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Median filter with absolute value norm spatial regularization
We provide a novel formulation for computing median filter with spatial regularization as minimizing a cost function composed of absolute value norms. We turn this cost minimizat...
Nilanjan Ray
95
Voted
IJCV
2006
107views more  IJCV 2006»
14 years 10 months ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen