Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37654
Title: Efficient blind blur identification using discrete periodic Radon transform
Authors: Lun, DPK 
Hsung, TC
Feng, DD
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001, 02 May 2001-04 May 2001, Hong Kong, p. 79-82 How to cite?
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. 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 probelms, 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
URI: http://hdl.handle.net/10397/37654
ISBN: 962-85766-2-3
DOI: 10.1109/ISIMP.2001.925336
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