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» A New Method of Image Denoise Using Contourlet Transform
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WSCG
2004
166views more  WSCG 2004»
14 years 10 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
SCALESPACE
2009
Springer
15 years 4 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
CVPR
2006
IEEE
15 years 11 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
IVC
2007
82views more  IVC 2007»
14 years 9 months ago
Cloud covering denoising through image fusion
This paper presents a solution to the cloud removal problem, based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) t...
Salvador Gabarda, Gabriel Cristóbal
ICIP
2009
IEEE
14 years 7 months ago
A new representation method of head images for head pose estimation
In this paper, a discriminative representation method of head images is proposed, which is based on parts and poses for identity-independent head pose estimation. Head images are ...
Xiangyang Liu, Hongtao Lu, Heng Luo