Parameter Estimation and Restoration of Motion Blurred Image

Yu Xiang Song; Yan Mei Zhang

doi:10.4028/www.scientific.net/AMM.608-609.855

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 608-609Parameter Estimation and Restoration of Motion...

Parameter Estimation and Restoration of Motion Blurred Image

Abstract:

according to the real motion blur image restoration problems, analyze the difference between the image features and Simulation of real blurred images, this paper proposes a method that applied to real image degradation parameter estimation. First calculate the degraded image using cepstrum, taking the cepstrum to binary image using absolute value of minimum gray as the threshold, and then remove the center cross bright line; and then use formula of point to line to calculate the distance of bright fringe direction of binary image, that is direction of motion blur; the direction of motion blur is rotated to the horizontal direction by the degraded image center of rotation axis, divided the autocorrelation method to calculate fuzzy scale. To estimate the point spread function is take into the Wiener filtering algorithm to recover images, image restoration effect prove that parameter estimation results are correct.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 608-609)

Pages:

855-859

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.608-609.855

Citation:

Cite this paper

Online since:

October 2014

Authors:

Yu Xiang Song*, Yan Mei Zhang

Keywords:

Image Restoration, Motion Blur, Parameter Estimation, Point Spread Function

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* - Corresponding Author

References

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