Analysis of optical near-field images by Karhunen-Loeve transformation

被引：2
|
作者：
Charraut, D
Courjon, D
Bainier, C
Moulinier, L
机构：
[1] Laboratoire d'Optique P.M. Duffieux, Centre National de la Recherche Scientifique, Unité de Recherche Associeé, Université de Franche-Comté, Faculté des Sciences, 25030, Besançon Cedex
来源：
APPLIED OPTICS | 1996年 / 35卷 / 20期
关键词：
near-field microscopy; image processing; Karhunen-Loeve transform; information extraction; image-quality improvement;
D O I：
10.1364/AO.35.003853
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
With regard to classical image transformations, the Karhunen-Loeve transform is based on the statistical analysis of signal or image data. We propose using it to analyze and recognize the content of images generated in near-field microscopy. It is shown that such a transform is an efficient tool for separating actual information from noise without reducing the spatial-frequency band. (C) 1996 Optical Society of America
引用
收藏
页码：3853 / 3861
页数：9
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