Parameter estimation of rotational motion blur based on sinc function

Yaming Xu; Peng Lu; Xiao Zhou; Guilin Zhang

doi:10.1117/12.834017

30 October 2009 Parameter estimation of rotational motion blur based on sinc function

Yaming Xu, Peng Lu, Xiao Zhou, Guilin Zhang

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74984L (2009) https://doi.org/10.1117/12.834017
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

A novel approach is proposed to estimate the parameters of rotational motion blur. Firstly, the rotational blur was changed into translational motion blur by geometric transformation from Cartesian coordinate system to polar coordinate system. The characteristic of the translational motion blurred image in frequency domain was concluded. Then, the characteristic was further analyzed by a new definition of point spread function (PSF). Based on this, an object function was derived to describe the relationship between the parameter and the characteristic. At last, the statistical optimal parameter of the blur motion was obtained by traversing through the resolution space of the object function. The comparing experiment results demonstrate that the new method has better accuracy than traditional ones.

Citation Download Citation

Yaming Xu, Peng Lu, Xiao Zhou, and Guilin Zhang "Parameter estimation of rotational motion blur based on sinc function", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74984L (30 October 2009); https://doi.org/10.1117/12.834017

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