Efficient blind image restoration using discrete periodic Radon transform

Pak Kong Lun, Tommy C.L. Chan, Tai Chiu Hsung, David Dagan Feng, Yuk Hee Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

21 Citations (Scopus)

Abstract

Restoring an image from its convolution with an unknown blur function is a well-known ill-posed problem in image processing. Many approaches have been proposed to solve the problem and they have shown to have good performance in identifying the blur function and restoring the original image. However, in actual implementation, various problems incurred due to the large data size and long computational time of these approaches are undesirable even with the current computing machines. In this paper, an efficient algorithm is proposed for blind image restoration based on the discrete periodic Radon transform (DPRT). With DPRT, the original two-dimensional blind image restoration problem is converted into one-dimensional ones, which greatly reduces the memory- size and computational time required. Experimental results show that the resulting approach is faster in almost an order of magnitude as compared with the traditional approach, while the quality of the restored image is similar.
Original languageEnglish
Pages (from-to)188-200
Number of pages13
JournalIEEE Transactions on Image Processing
Volume13
Issue number2
DOIs
Publication statusPublished - 1 Feb 2004

Keywords

  • ARMA processes
  • Image deblurring
  • Radon transforms

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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