State-of-the-art research in image quality assessment has been oriented toward objective measures of image quality, requiring microdensitometers and computers. Cost and time constraints in the operational situation, however, place emphasis on man-dependent methods. This paper describes the performance of the image interpreter in a study comparing two of the more widely accepted Air Force subjective measures of image quality: tribar target resolution reading and visual edge matching. These techniques are described, interpreter certification is discussed, data derived from the application of each technique to a common imagery set are presented, and a comparison of the two methods reported.
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