DocumentCode
2503480
Title
Blind image restoration based on total variation regularization of blurred images
Author
Ohkoshi, Kyosuke ; Goto, Tomio ; Hirano, Satoshi ; Sakurai, Masaru
Author_Institution
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear
2012
fDate
2-5 Oct. 2012
Firstpage
621
Lastpage
622
Abstract
In this paper, we propose a novel blind image restoration method based on total variation (TV) regularization. It involves alternate iteration of point spread function (PSF) estimation and deconvolution. Using this method, we can obtain clear images from blurred images without an increase in noise and ringing. Thus, blurred images captured using digital cameras can be restored effectively.
Keywords
deconvolution; image restoration; iterative methods; blind image restoration; blurred image; deconvolution iteration; digital camera; point spread function estimation iteration; total variation regularization; Deconvolution; Equations; Estimation; Image restoration; Kernel; Mathematical model; Noise; Deblurring; Image restoration; Motion blur;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location
Tokyo
Print_ISBN
978-1-4673-1500-5
Type
conf
DOI
10.1109/GCCE.2012.6379933
Filename
6379933
Link To Document