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ICIP
2009
IEEE
14 years 5 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
TIP
2008
205views more  TIP 2008»
13 years 4 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
1998
IEEE
13 years 9 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ICIP
2000
IEEE
14 years 6 months ago
Spatially Adaptive Image Denoising Under OverComplete Expansion
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Xin Li, Michael T. Orchard
TIP
2002
133views more  TIP 2002»
13 years 4 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...