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» The Use of Residuals in Image Denoising
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ESIAT
2009
IEEE
13 years 10 months ago
A New Method of Image Denoise Using Contourlet Transform
—In all methods of image denoising, there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but ...
Xingmei Li, Guoping Yan, Liang Chen
ANOR
2010
87views more  ANOR 2010»
13 years 7 months ago
Image denoising via solution paths
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
Li Wang, Ji Zhu
ICIP
2008
IEEE
14 years 9 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
ICIP
2004
IEEE
14 years 9 months ago
Shift-invariant wavelet denoising using interscale dependency
Using statistical modeling in the wavelet domain, we address the problem of image denoising. Despite being effective, the denoised images can suffer from the Gibbs-like artifacts,...
Pei Chen, David Suter
ICIP
2006
IEEE
14 years 9 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer