A Blind Deconvolution Algorithm using Zernike-polynomial-based Phase Fitting

被引:0
|
作者
Ren, Zhilei [1 ]
Liu, Jin [1 ]
Liang, Yonghui [1 ]
机构
[1] Natl Univ Def Technol, Deya Rd 109, Changsha, Peoples R China
关键词
Deconvolution; Fitting; MFBD; MYOPIC DECONVOLUTION;
D O I
10.1145/3239576.3239596
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The correction of an adaptive optics (AO) system is always partially, a post-processing technique such as blind deconvolution can be used to improve the image quality. In this paper, we propose a blind deconvolution algorithm using Zernike-polynomial-based phase fitting to recover a high resolution and contrast image from the short-exposure AO images. The strategy is to parameterize the point spread function (PSF) with phase aberrations pixel by pixel and introduce a constraint to the phase estimations using phase fitting. The algorithm is robust and can lead to a restoration free of artifacts. We evaluate the performance of our proposed algorithm by a number of simulated experiments and it is well performed.
引用
收藏
页码:54 / 58
页数:5
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