Abstract

A point transformation, the normalizing transform, is presented, which, when applied to a measured noisy image, renders its noise signal independent. The transform is suitable for arbitary noise-to-signal dependence. We demonstrate its applicability and its limitations by using, as an example, noisy signals that belong to a family of gamma-distributed random variables with power-law variance-to-mean dependence. Its normalizing and variance-stabilizing properties are studied.

© 1981 Optical Society of America

Integral expression for transforming signal-dependent noise into signal-independent noise

H. H. Arsenault and M. Denis
Opt. Lett. 6(5) 210-212 (1981)

Image restoration by transformation of signal-dependent noise to signal-independent noise

Rangachar Kasturi, John F. Walkup, and Thomas F. Krile
Appl. Opt. 22(22) 3537-3542 (1983)

Exact variance-stabilizing transformations for image-signal-dependent Rayleigh and other Weibull noise sources

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Transformation of film-grain noise into signal-independent additive Gaussian noise

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J. Opt. Soc. Am. 71(1) 91-94 (1981)

Estimation in signal-dependent film-grain noise

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