Affiliation:
1. Department of Industrial Engineering and Operations Research Virginia Polytechnic Institute and State University Blacksburg, Virginia 24061
Abstract
Hard-copy digital imagery was studied with respect to subjective image quality. Trained Air Force photo-interpreters judged the interpretability of 250 military images. The images varied in noise, blur, and scene content. Other analyses performed on the data showed that at least 62 categories should be used to scale interpretability, the correlation between information extraction performance and scale values for digital imagery is high, and multidimensional scaling can be used with questionable utility in studying image quality.
Cited by
1 articles.
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1. Effects of Blur and Noise on Digital Imagery Interpretability;Proceedings of the Human Factors Society Annual Meeting;1981-10