文章基本信息

标题：Characterizing Image Quality: Blind Estimation of the Point Spread Function from a Single Image
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作者：Marc Luxen ; Wolfgang Förstner
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 3 A
页码：205-210
出版社：Copernicus Publications
摘要：This paper describes a method for blind estimation of sharpness and resolving power from a single image. These measures can be used to characterize images in the context of the performance of image analysis procedures. The method assumes the point spread function (PSF) can be approximated by an anisotropic Gaussian. The width . of the PSF is determined by the ratio . ￠ . ¤ ￡￥ . ￠ . § | of the standard deviations of the intensity and of its derivative at edges. The contrast sensitivity function (CSF) is based on an optimal model for detecting straight edges between homogeneous regions in noisy images. It depends on the signal to noise ratio and is linear in the frequency. The method is applied to artificial and real images proving that it gives valuable results
关键词：Characterization of algorithms; contrast sensitivity function (CSF); image sharpness; modulation transfer ; function (MTF); point spread function (PSF); scale; resolving power