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Proceedings Paper

Automatic restoration of motion blurred image based on frequency and cepstrum domain
Author(s): Li Xu; Xiaoyu Gao; Tian Fang
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Paper Abstract

The motion blur is one of the common factors leading to blurred images, the parameters of the point spread function (PSF) estimation is the key and prerequisite of motion blurred image restoration. Based on motion blur image characteristics of spectrum and cepstrum analysis, a automatic detection algorithm based on frequency domain and cepstrum domain algorithms is proposed in the paper, which can automatically detect the blur length and blur angle, then we can restorate the motion blur image. Experiments show that when the blur length is 15 ~ 80 pixels noiselessly, In addition to the individual blur length/angle (e.g. 30 pixels/300, 75 pixels/300), blur length estimation error is 0 ~ 0.2 pixels and blur angle estimation error is almost 0. The detection range is greater than some other methods, and the quality of image restoration is good.

Paper Details

Date Published: 8 October 2015
PDF: 10 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752U (8 October 2015); doi: 10.1117/12.2202806
Show Author Affiliations
Li Xu, North South China Univ. of Water Resources and Electric Power (China)
Xiaoyu Gao, North South China Univ. of Water Resources and Electric Power (China)
Tian Fang, North South China Univ. of Water Resources and Electric Power (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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