DocumentCode :
3634925
Title :
Space-variant deblurring using one blurred and one underexposed image
Author :
Michal Šorel;Filip Šroubek
Author_Institution :
Institute of Information Theory and Automation of the ASCR, Pod Vodarenskou vezi 4, Praha 8, 182 08, Czech Republic
fYear :
2009
Firstpage :
157
Lastpage :
160
Abstract :
We propose a practical method to remove photo blur due to camera shake, which is a typical problem when taking photos in dim lighting conditions such as indoor or night scenes. We use a pair of images, one of them blurred and the other one underexposed or noisy because of high ISO setting. Existing methods assume convolution model, that is the same blur in the whole image. It is seldom true in practice, especially for wide angle lens photos. We apply a space-variant model of blurring valid in many real situations. Results are documented by a photograph of a night scene.
Keywords :
"Cameras","Deconvolution","Kernel","Layout","Lenses","ISO standards","Convolution","Optical distortion","Information theory","Automation"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
2381-8549
Type :
conf
DOI :
10.1109/ICIP.2009.5414145
Filename :
5414145
Link To Document :
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