2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MA-L4.2
Session:Image and Video Restoration
Time:Monday, September 17, 10:10 - 10:30
Presentation: Lecture
Title: RADIAL DEBLURRING WITH FFTS
Authors: Christopher B. Webster; Auburn University 
 Stanley Reeves; Auburn University 
Abstract: Radial blurring (sometimes called zoom blurring) of an image is a challenging problem because it is a shift-variant blur. As one travels outward from the center of an image, the blur length increases linearly with distance from the center. This shift-variant characteristic precludes the use of traditional FFT-based deblurring techniques. We propose a way around this problem by transforming the coordinate system of the blurred image into one in which the blur is LSI. Equivalently, the blurred image is sampled in a particular nonuniform fashion so that the blur becomes LSI in the new discrete-space coordinates. As a result, the blur can be modeled by convolution so that FFT-based deblurring can be used.



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