Hyperacuity processing

Steven C. Gustafson; Gordon R. Little; Theresa A. Tuthill

doi:10.1117/12.242005

7 June 1996 Hyperacuity processing

Steven C. Gustafson, Gordon R. Little, Theresa A. Tuthill

Proceedings Volume 2751, Hybrid Image and Signal Processing V; (1996) https://doi.org/10.1117/12.242005
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

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Steven C. Gustafson, Gordon R. Little, and Theresa A. Tuthill "Hyperacuity processing", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); https://doi.org/10.1117/12.242005

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KEYWORDS

Convolution

Image processing

Visual process modeling

Digital imaging

Visualization

Digital image processing

Spatial resolution

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