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Author (up) Luxen, Marc; Förstner, Wolfgang url  openurl
  Title Characterizing Image Quality: Blind Estimation of the Point Spread Function from a Single Image Type Conference Article
  Year 2002 Publication Proceedings of Symposium of ISPRS Commission III Photogrammetric Computer Vision PCV '02 Abbreviated Journal PCV 2002  
  Volume Issue Pages 205-210  
  Keywords characterization of algorithms; contrast sensitivity function (CSF); image sharpness; modulation transfer function (MTF); point spread function (PSF); scale; resolving power  
  Abstract 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 σ of the PSF is determined by the ratio σg/σg′ 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.  
  Address  
  Corporate Author Thesis  
  Publisher ISPRS Place of Publication Graz, Austria Editor Kalliany, Rainer; Leberl, Franz; Fraundorfer, Fritz  
  Language Summary Language Original Title  
  Series Editor Series Title International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Series Title ISPRS Archives  
  Series Volume XXXIV Series Issue 3/A Edition  
  ISSN ISBN Medium  
  Area Expedition Conference PCV 2002  
  Notes Approved yes  
  Call Number UCF @ kdamkjer @ Luxen_2002 Serial 44  
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