Charraut D, Courjon D, Bainier C, Moulinier L
Appl Opt. 1996 Jul 10;35(20):3853-61. doi: 10.1364/AO.35.003853.
With regard to classical image transformations, the Karhunen-Loève 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.