Computer-generated noise images for the evaluation of image processing algorithms

Arthur Robert Weeks; Harley R. Myler; Holly Wenaas

doi:10.1117/12.130267

1 May 1993 Computer-generated noise images for the evaluation of image processing algorithms

Arthur Robert Weeks, Harley R. Myler, Holly Wenaas

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Optical Engineering, Vol. 32, Issue 5, (May 1993). https://doi.org/10.1117/12.130267

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.

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Arthur Robert Weeks, Harley R. Myler, and Holly Wenaas "Computer-generated noise images for the evaluation of image processing algorithms," Optical Engineering 32(5), (1 May 1993). https://doi.org/10.1117/12.130267

Published: 1 May 1993

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