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Optical Engineering

Computer-generated noise images for the evaluation of image processing algorithms
Author(s): Arthur Robert Weeks; Harley R. Myler; Holly Wenaas
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Paper Abstract

Effective implementation of image processing algorithms for enhancement and restoration often assumes that the images are degraded by known statistical noise. Depending on the application, the type of noise present may vary. The noise distributions that are commonly encountered in image processing are the Gaussian, Rayleigh, negative exponential, and gamma. Typically, when computer-generated noise images are used for algorithm development they are spatially uncorrelated. It is the purpose of this paper to present various types of computer-generated two-dimensional correlated and uncorrelated noise images along with suggestions of several applications.

Paper Details

Date Published: 1 May 1993
PDF: 11 pages
Opt. Eng. 32(5) doi: 10.1117/12.130267
Published in: Optical Engineering Volume 32, Issue 5
Show Author Affiliations
Arthur Robert Weeks, Univ. of Central Florida (United States)
Harley R. Myler, Univ. of Central Florida (United States)
Holly Wenaas, Martin Marietta Corp. (United States)

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