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» Noisy Motion-blurred Images Restoration Based on RBFN
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ICIP
2010
IEEE
13 years 5 months ago
Anisotropic diffusion-based detail-preserving smoothing for image restoration
It is important in image restoration to remove noise while preserving meaningful detail such as blurred thin edges and low-contrast fine features. The existing edgepreserving smoo...
Shin-Min Chao, Du-Ming Tsai, Wei-Yao Chiu, Wei-Che...
TOG
2008
140views more  TOG 2008»
13 years 7 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...
JMIV
2002
74views more  JMIV 2002»
13 years 7 months ago
A Filter To Remove Gaussian Noise by Clustering the Gray Scale
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Zakaria Atae-Allah, José-Martínez Ar...
ICIP
2003
IEEE
14 years 9 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
ICIP
1997
IEEE
14 years 9 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