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ICCV
2005
IEEE
14 years 1 months ago
Patch Based Blind Image Super Resolution
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
Qiang Wang, Xiaoou Tang, Harry Shum
CVPR
2000
IEEE
13 years 11 months ago
Blind Recovery of Transparent and Semireflected Scenes
We present a method to recover scenes deteriorated by superposition of transparent and semi-reflected contributions, as appear in reflections off windows. Separating the superimpo...
Yoav Y. Schechner, Joseph Shamir, Nahum Kiryati
ICCV
2011
IEEE
12 years 8 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
CVPR
2006
IEEE
13 years 11 months ago
Blind Haze Separation
Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray r...
Sarit Shwartz, Einav Namer, Yoav Y. Schechner
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...