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Optical Engineering

Statistical noise simulation for image processing purposes
Author(s): Adriana Vlad; Marin Ferecatu; Paul Oprisan
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Paper Abstract

There are several image processing algorithms for enhancement, restoration, segmentation or feature extraction that assume known statistical distribution for the noise from a corrupted image. Usually this noise is considered uncorrelated, but there are many cases where the strength of a certain algorithm must be tested for spatially correlated noise. Our main point is to derive a method for controlling the autocorrelation function of gamma distributed noise images. The exponential case is included. An uncorrelated noise generating algorithm that yields Gaussian, exponential and gamma distributed images of a good statistical quality is also presented.

Paper Details

Date Published: 1 June 1996
PDF: 10 pages
Opt. Eng. 35(6) doi: 10.1117/1.600762
Published in: Optical Engineering Volume 35, Issue 6
Show Author Affiliations
Adriana Vlad, Polytechnic Univ. of Bucharest (Romania)
Marin Ferecatu, Polytehnica Univ. of Bucharest (Romania)
Paul Oprisan, Polytehnica Univ. of Bucharest (Romania)

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