Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmospheric Turbulence Model

被引:18
作者
Chan, Stanley H. [1 ]
机构
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
Atmospheric modeling; Image restoration; Mathematical models; Phase distortion; Computational modeling; Refractive index; Optical distortion; Atmospheric turbulence; image restoration; forward model; simulation; convolution; signal processing;
D O I
10.1109/LSP.2022.3200551
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Imaging at a long distance often requires advanced image restoration algorithms to compensate for the distortions caused by atmospheric turbulence. However, unlike many standard restoration problems such as deconvolution, the forward image formation model of the atmospheric turbulence does not have a simple expression. Thanks to the Zernike representation of the phase, one can show that the forward model is a combination of tilt (pixel shifting due to the linear phase terms) and blur (image smoothing due to the high order aberrations). Confusions then arise between the ordering of the two operators. Should the model be tilt-then-blur, or blur-then-tilt? Some papers in the literature say that the model is tilt-then-blur, whereas more papers say that it is blur-then-tilt. This paper clarifies the differences between the two and discusses why the tilt-then-blur is the correct model. Recommendations are given to the research community.
引用
收藏
页码:1833 / 1837
页数:5
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