Generalized image degradation model for removing motion blur in image sequence

Yoo Chan Choung; Jeong-Ho Shin; Joon-Ki Paik

doi:10.1117/12.298338

9 January 1998 Generalized image degradation model for removing motion blur in image sequence

Yoo Chan Choung, Jeong-Ho Shin, Joon-Ki Paik

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298338
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

Yoo Chan Choung, Jeong-Ho Shin, and Joon-Ki Paik "Generalized image degradation model for removing motion blur in image sequence", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298338

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