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Toward a unified view of radiological imaging systems. Part II: Noisy images
Author(s) -
Wagner Robert F.
Publication year - 1977
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.594362
Subject(s) - contrast (vision) , computer science , medical imaging , magnification , artificial intelligence , sampling (signal processing) , noise (video) , sample (material) , aperture (computer memory) , computer vision , image (mathematics) , physics , filter (signal processing) , thermodynamics , acoustics
“The imaging process is fundamentally a sampling process.” This philosophy of Otto Schade, utilizing the concepts of sample number and sampling aperture, is applied to a systems analysis of radiographic imaging, including some aspects of vision. It leads to a simple modification of the Rose statistical model; this results in excellent fits to the Blackwell data on the detectability of disks as a function of contrast and size. It gives a straightforward prescription for calculating a signal‐to‐noise ratio, which is applicable to the detection of low‐contrast detail in screen–film imaging, including the effects of magnification. The model lies between the optimistic extreme of the Rose model and the pessimistic extreme of the Morgan model. For high‐contrast detail, the rules for the evaluation of noiseless images are recovered.