Quantitative Evaluation of Turbulence Compensation

扫码查看

原文链接

NETL
Spie-Int Soc Optical Engineering

外文摘要：A well-known phenomena that diminishes the recognition range in infrared imagery is atmospheric turbulence， hi literature many methods are described that try to compensate for the distortions caused by atmospheric turbulence。 Most of these methods use a global processing approach in which they assume a global shift and a uniform blurring in all frames。 Because the effects of atmospheric turbulence are often spatial and temporal varying， we presented previous year a turbulence compensation method that performs local processing leading to excellent results， hi this paper an improvement of this method is presented which uses a temporal moving reference frame in order to be capable of processing imagery containing moving objects as well as blur estimation to obtain adaptive deconvolution。 Furthermore our method is evaluated in a quantitative way， which will give a good insight in which components of our method contribute to the obtained visual improvements。

外文关键词：

Turbulence compensationdeconvolutionimage restorationsuper-resolutionquantitative evaluation

作者：

Adam W.M. van Eekeren、Klamer Schutte、Judith Dijk、Piet B.W. Schwering

展开 >

作者单位：

TNO, PO Box 96864, 2509 JG The Hague, The Netherlands

会议名称：

Conference on infrared imaging systems: design, analysis, modeling, and testing XXIV

会议地点：

Baltimore, MD(US)

会议母体文献：

Infrared imaging systems: design, analysis, modeling, and testing XXIV

页码：

87060K.1-87060K.8

出版时间：

2013

DOI：

10.1117/12.2015371