Wavelet transform based gaussian point spread function estimation

Authors:
Qing-Chuan Tao;Xiao-Hai He;Hong-Bin Deng;Ying Liu;Jia Zhao
Affiliations:
College of Electronic Information, Sichuan University, Chengdu, P.R. China;College of Electronic Information, Sichuan University, Chengdu, P.R. China;School of Information Engineering, Beijing Institute of Technology, Beijing, P.R. China;College of Electronic Information, Sichuan University, Chengdu, P.R. China;College of Electronic Information, Sichuan University, Chengdu, P.R. China
Venue:
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Year:
2005

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Abstract

Point spread function (PSF) estimation, an essential part for image restoration, has no accurate estimation algorithm at present. Based on the wavelet theory, a new Gaussian PSF accurate estimation algorithm is put forward in this paper. Firstly, the blurred images are smoothed, and their noise is reduced. Secondly, wavelet with varied scales is transformed, after which the local maxima of the modulus of the wavelet are computed respectively. Thirdly, on the basis of the relation deduced in this paper among the local maxima of the modulus of the wavelet at different scales, Lipschitz exponent and variance, the variance of a Gaussian PSF is computed. The experimental result shows that the proposed algorithm has an accuracy rate as high as 95%, and is of great application value.