Statistical noise simulation for image processing purposes

Adriana Vlad; Marin Ferecatu; Paul Oprisan

doi:10.1117/1.600762

1 June 1996 Statistical noise simulation for image processing purposes

Adriana Vlad; Marin Ferecatu; Paul Oprisan;

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Optical Engineering, 35(6), (1996). https://doi.org/10.1117/1.600762

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.

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Adriana Vlad, Marin Ferecatu, Paul Oprisan, "Statistical noise simulation for image processing purposes," Optical Engineering 35(6), (1 June 1996). https://doi.org/10.1117/1.600762 . Submission:

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