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» Image Denoising with Directional Bases
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ADCM
2010
270views more  ADCM 2010»
14 years 9 months ago
A fast algorithm for the total variation model of image denoising
The total variation model of Rudin, Osher, and Fatemi for image denoising is considered to be one of the best denoising models. In the past, its solutions were based on nonlinear ...
Rong-Qing Jia, Hanqing Zhao
ICIP
2000
IEEE
15 years 2 months ago
Wavelet-Based Image Denoising Using Hidden Markov Models
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...
Guoliang Fan, Xiang-Gen Xia
ICASSP
2007
IEEE
15 years 1 months ago
A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicin
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are empl...
Keigo Hirakawa, Xiao-Li Meng, Patrick J. Wolfe
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
ICIP
1997
IEEE
15 years 11 months ago
Image Coupling, Restoration and Enhancement via PDE's
We present a new approach based on Partial Differential Equations (PDE) to restore noisy blurred images. After studying the methods to denoise images, staying as close as possible...
Pierre Kornprobst, Rachid Deriche, Gilles Aubert