A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets

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16
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24

초록

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.

키워드

Image deblurringpoint spread function (PSF)projection onto convex sets (POCS)
제목
A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets
저자
Jung, Seung-WonKim, Tae-HyunKo, Sung-Jea
DOI
10.1109/LSP.2008.2012227
발행일
2009-01
유형
Article
저널명
IEEE Signal Processing Letters
16
1-3
페이지
192 ~ 195