| 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. |
