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» The curvelet transform for image denoising
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ICIP
2006
IEEE
15 years 11 months ago
Fast Non-Local Algorithm for Image Denoising
For the non-local denoising approach presented by Buades et al., remarkable denoising results are obtained at high expense of computational cost. In this paper, a new algorithm th...
Jin Wang, Yanwen Guo, Yiting Ying, Yanli Liu, Quns...
ISCAS
2007
IEEE
241views Hardware» more  ISCAS 2007»
15 years 3 months ago
Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
— In this paper, a modified version of the complex directional pyramid (PDTDFB) is proposed. Unlike the previous approach, the new FB provides an approximately tight-frame decom...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
WSCG
2004
166views more  WSCG 2004»
14 years 11 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
ICIAR
2007
Springer
15 years 3 months ago
Multicomponent Image Restoration, an Experimental Study
Abstract. In this paper, we study the problem of restoring multicomponent images. In particular, we investigate the effects of accounting for the correlation between the image com...
Arno Duijster, Steve De Backer, Paul Scheunders
ICIP
2002
IEEE
15 years 11 months ago
Wavelet-based enhancement and denoising using multiscale structure tensor
In this paper, a concept called multiscale structure tensor is introduced, as an extension of the single-scale structure tensor. It is based on a redundant dyadic wavelet transfor...
Paul Scheunders