A method for local deconvolution

被引:18
作者
Gureyev, TE [1 ]
Nesterets, YI [1 ]
Stevenson, AW [1 ]
Wilkins, SW [1 ]
机构
[1] CSIRO Mfg & Infrastruct Technol, Clayton, Vic 3169, Australia
关键词
D O I
10.1364/AO.42.006488
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A new method for deconvolution of one-dimensional and multidimensional data is suggested. The proposed algorithm is local in the sense that the deconvolved data at a given point depend only on the value of the experimental data and their derivatives at the same point. In a regularized version of the algorithm the deconvolution is constructed iteratively with the help of an approximate deconvolution operator that requires only the low-order derivatives of the data and low-order integral moments of the point-spread function. This algorithm is expected to be particularly useful in applications in which only partial knowledge of the point-spread function is available. We tested and compared the proposed method with some of the popular deconvolution algorithms using simulated data with various levels of noise. (C) 2003 Optical Society of America.
引用
收藏
页码:6488 / 6494
页数:7
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