A novel multiple image deblurring technique using fuzzy projection onto convex sets

Seung W. Jung, Tae Hyun Kim, Sung-Jea Ko

Research output: Contribution to journalArticle

17 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)192-195
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number3
DOIs
Publication statusPublished - 2009 Mar 2

Fingerprint

Projection onto Convex Sets
Image Deblurring
Image reconstruction
Merging
Deblurring
Image Restoration
Experimental Results
Demonstrate

Keywords

  • Image deblurring
  • Point spread function (PSF)
  • Projection onto convex sets (POCS)

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

A novel multiple image deblurring technique using fuzzy projection onto convex sets. / Jung, Seung W.; Kim, Tae Hyun; Ko, Sung-Jea.

In: IEEE Signal Processing Letters, Vol. 16, No. 3, 02.03.2009, p. 192-195.

Research output: Contribution to journalArticle

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