Efficient blind blur identification using discrete periodic radon transform

Pak Kong Lun, T. C. Hsung, David D. Feng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

The problem of restoring an image from its convolution with an unknown blur function is a well-known 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 or retrieving 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 multichannel blind blur identification based on the discrete periodic Radon transform (DPRT). With the DPRT, the original 2-dimensional multichannel blind blur identification problem can be converted into 1-dimensional ones, which greatly reduces the memory size and computational time required. Experimental results show that a 44% reduction in the number of operations can be achieved as compared to the traditional approach.
Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages79-82
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Country/TerritoryHong Kong
CityHong Kong
Period2/05/014/05/01

ASJC Scopus subject areas

  • Computer Science(all)

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