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Proceedings Paper

Fast restoration approach for motion blurred image based on deconvolution under the blurring paths
Author(s): Yu Shi; Jie Song; Xia Hua
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Paper Abstract

For the real-time motion deblurring, it is of utmost importance to get a higher processing speed with about the same image quality. This paper presents a fast Richardson-Lucy motion deblurring approach to remove motion blur which rotates blurred image under blurring paths. Hence, the computational time is reduced sharply by using one-dimensional Fast Fourier Transform in one-dimensional Richardson-Lucy method. In order to obtain accurate transformational results, interpolation method is incorporated to fetch the gray values. Experiment results demonstrate that the proposed approach is efficient and effective to reduce motion blur under the blur paths.

Paper Details

Date Published: 14 December 2015
PDF: 5 pages
Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 981404 (14 December 2015); doi: 10.1117/12.2205459
Show Author Affiliations
Yu Shi, Wuhan Institute of Technology (China)
Jie Song, Wuhan Institute of Technology (China)
Xia Hua, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 9814:
MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing
Jianguo Liu, Editor(s)

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