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Proceedings Paper

Simultaneous digital focusing and motion blur removal using segmentation-based adaptive regularization
Author(s): SangKyu Kang; Jihong Min; Joon-Ki Paik
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Paper Abstract

Recently, many image processing systems are required to offer high-quality images. For example, when we use a surveillance system with a digital camcorder and a digital video recorder, it is highly probable that the acquired image suffers from various image degradation, such as motion blur and out-of- focus blur. With such degradation, we cannot obtain important information. This is mainly cased by limited performance of image formation system. In this work, we investigate the causes of focus blur and motion blur. With the simultaneous formulation of the corresponding degradation, we propose a spatially adaptive regularization algorithm for restoring out- of-focus and motion blurred images. Accordingly, we present a method to estimate blur parameters and a segmentation method for spatially adaptive processing.

Paper Details

Date Published: 29 December 2000
PDF: 11 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411859
Show Author Affiliations
SangKyu Kang, Chung-Ang Univ. (South Korea)
Jihong Min, Chung-Ang Univ. (South Korea)
Joon-Ki Paik, Chung-Ang Univ. (South Korea)


Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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