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

18 Citations (Scopus)


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
Issue number3
Publication statusPublished - 2009 Mar 2



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

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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