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Proceedings Paper

Hyperacuity processing
Author(s): Steven C. Gustafson; Gordon R. Little; Theresa A. Tuthill
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Paper Abstract

A digital image smoothing procedure is described that meets two requirements inferred from a recent model of biological vision. First, the smoothed image is a linear combination of basis functions formed by convolving a Gaussian function with each pixel. Second, the linear coefficients are evaluated by requiring that the integral of the smoothed image over each pixel equal the product of the gray value and area of that pixel. These requirement are in accordance with a model of visual hyperacuity that explains the ability of biological vision systems to resolve some image details that are much smaller than system photoreceptors. The procedure is demonstrated and compared with standard Gaussian convolution smoothing for both a simple one- dimensional example and a practical corner-of-an-eye test image.

Paper Details

Date Published: 7 June 1996
PDF: 8 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242005
Show Author Affiliations
Steven C. Gustafson, Univ. of Dayton (United States)
Gordon R. Little, Univ. of Dayton (United States)
Theresa A. Tuthill, Univ. of Dayton (United States)

Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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