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Proceedings Paper

Generalized image degradation model for removing motion blur in image sequence
Author(s): Yoo Chan Choung; Jeong-Ho Shin; Joon-Ki Paik
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Paper Abstract

Moving pictures inevitably suffer from motion blur caused by the relative motion between a camera and objects. Such degradation is due to the nonideal operation of a shutter in the imaging instrument. Especially, motion blur is usually space-variant because the moving objects have different orientation and velocity. The purpose of this paper is to give a precise model of the space-variant motion blue, and to propose an adaptive image restoration techniques which removes the corresponding motion blur. The main concern of the proposed model is to explain the phenomenon that occurs in the boundary region of moving objects. In the process of estimating the degradation, a hierarchical motion estimation method is used. And then an adaptive restoration algorithm shows subjectively acceptable performance in eliminating the space-variant motion blur.

Paper Details

Date Published: 9 January 1998
PDF: 9 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298338
Show Author Affiliations
Yoo Chan Choung, Chung-Ang Univ. (South Korea)
Jeong-Ho Shin, Chung-Ang Univ. (South Korea)
Joon-Ki Paik, Chung-Ang Univ. (South Korea)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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