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DIGITAL IMAGE PROCESSING
Author(s) -
LO WINNIE Y.,
PUCHALSKI SARAH M.
Publication year - 2008
Publication title -
veterinary radiology and ultrasound
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.541
H-Index - 60
eISSN - 1740-8261
pISSN - 1058-8183
DOI - 10.1111/j.1740-8261.2007.00333.x
Subject(s) - computer vision , artificial intelligence , unsharp masking , pixel , image processing , medicine , preprocessor , histogram , grayscale , digital image , computer graphics (images) , computer science , image (mathematics)
Image processing or digital image manipulation is one of the greatest advantages of digital radiography (DR). Preprocessing depends on the modality and corrects for system irregularities such as differential light detection efficiency, dead pixels, or dark noise. Processing is manipulation of the raw data just after acquisition. It is generally proprietary and specific to the DR vendor but encompasses manipulations such as unsharp mask filtering within two or more spatial frequency bands, histogram sliding and stretching, and gray scale rendition or lookup table application. These processing steps have a profound effect on the final appearance of the radiograph, but they can also lead to artifacts unique to digital systems. Postprocessing refers to manipulation of the final appearance of the radiograph by the end‐user and does not involve alteration of the raw data.