Automatic restoration of motion blurred image based on frequency and cepstrum domain

Li Xu; Xiaoyu Gao; Tian Fang

doi:10.1117/12.2202806

8 October 2015 Automatic restoration of motion blurred image based on frequency and cepstrum domain

Li Xu, Xiaoyu Gao, Tian Fang

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96752U (2015) https://doi.org/10.1117/12.2202806
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

Citation Download Citation

Li Xu, Xiaoyu Gao, and Tian Fang "Automatic restoration of motion blurred image based on frequency and cepstrum domain", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752U (8 October 2015); https://doi.org/10.1117/12.2202806

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