Simultaneous digital focusing and motion blur removal using segmentation-based adaptive regularization

SangKyu Kang; Jihong Min; Joon-Ki Paik

doi:10.1117/12.411859

29 December 2000 Simultaneous digital focusing and motion blur removal using segmentation-based adaptive regularization

SangKyu Kang, Jihong Min, Joon-Ki Paik

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411859
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

SangKyu Kang, Jihong Min, and Joon-Ki Paik "Simultaneous digital focusing and motion blur removal using segmentation-based adaptive regularization", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411859

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