Title
A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets
Abstract
In this letter, we present a novel image restoration algorithm to deblur the image without estimating the image blur. The proposed algorithm performs deblurring by merging differently blurred multiple images in the spectrum domain using the fuzzy projection onto convex sets (POCS). Experimental results demonstrate that the merged single image contains much less blur than the multiple blurred images.
Year
DOI
Venue
2009
10.1109/LSP.2008.2012227
IEEE Signal Process. Lett.
Keywords
Field
DocType
fuzzy set theory,spectrum domain,projection onto convex sets,projection onto convex sets (pocs),image restoration,point spread function (psf),multiple image deblurring,optical transfer function,image deblurring,fuzzy projection,probability density function,frequency domain analysis,degradation,spectrum,point spread function,layout,deconvolution,merging,data mining,fuzzy sets,image reconstruction
Optical transfer function,Deconvolution,Fuzzy set,Artificial intelligence,Image restoration,Frequency domain,Computer vision,Mathematical optimization,Deblurring,Pattern recognition,Fuzzy logic,Regular polygon,Mathematics
Journal
Volume
Issue
ISSN
16
3
1070-9908
Citations 
PageRank 
References 
7
0.54
5
Authors
3
Name
Order
Citations
PageRank
Seung-Won Jung117614.68
Taehyun Kim223430.74
Sung-Jea Ko31051114.34