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» Blind deblurring of natural images
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CVPR
2012
IEEE
11 years 9 months ago
Nonlinear camera response functions and image deblurring
This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. In particular, we show how nonlinear CRFs can cause a spatially invarian...
Sunyeong Kim, Yu-Wing Tai, Seon Joo Kim, Michael S...
ICIP
1997
IEEE
14 years 8 months ago
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
S. U. Pillai, B. Liang
ICIP
2004
IEEE
14 years 8 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco
CVPR
2011
IEEE
13 years 2 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth
ICCV
2011
IEEE
12 years 7 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