33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Visual Adaptation of Scale and Imprecision in a Noisy World Cosmos Club, Washington, DC October 13-October 15 ISBN: 0-7695-2250-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2004.49
Pointlike quantum noise in an image can be defeated either by representing the image at a low gray-scale resolution or at a low spatial resolution. The first solution locates an image at an inherent imprecision, and the second locates the image at an inherent spatial scale. Two vision-based models combat noise by automatic and local spatial-scale adjustment. Making contrast steps proportional to the square root of intensity (the deVries-Rose law) uses the imprecision solution. A hybrid system such as human vision use both spatial solutions, and also carries out similar processing in the time domain.
Citation:
Michael H. Brill, "Visual Adaptation of Scale and Imprecision in a Noisy World," aipr, pp.28-32, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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