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ICCV
2005
IEEE
15 years 3 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
15 years 1 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
13 years 9 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
15 years 1 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»
16 years 5 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...