Fast restoration approach for motion blurred image based on deconvolution under the blurring paths

Yu Shi; Jie Song; Xia Hua

doi:10.1117/12.2205459

14 December 2015 Fast restoration approach for motion blurred image based on deconvolution under the blurring paths

Yu Shi, Jie Song, Xia Hua

Proceedings Volume 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing; 981404 (2015) https://doi.org/10.1117/12.2205459
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Yu Shi, Jie Song, and Xia Hua "Fast restoration approach for motion blurred image based on deconvolution under the blurring paths", Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 981404 (14 December 2015); https://doi.org/10.1117/12.2205459

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KEYWORDS

Image processing

Point spread functions

Deconvolution

Image quality

Digital signal processing

3D vision

Fourier transforms

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