Transformation of image-signal-dependent noise into imagesignal-independent noise

Paul R. Prucnal; Bahaa E.A. Saleh

doi:10.1364/OL.6.000316

Transformation of image-signal-dependent noise into imagesignal-independent noise

Paul R. Prucnal, Bahaa E.A. Saleh

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

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 gammadistributed random variables with power-law variance-to-mean dependence. Its normalizing and variance-stabilizing properties are studied.

Original language	English (US)
Pages (from-to)	316-318
Number of pages	3
Journal	Optics Letters
Volume	6
Issue number	7
DOIs	https://doi.org/10.1364/OL.6.000316
State	Published - Jul 1981
Externally published	Yes

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics

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10.1364/OL.6.000316

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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 gammadistributed random variables with power-law variance-to-mean dependence. Its normalizing and variance-stabilizing properties are studied.",

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AU - Saleh, Bahaa E.A.

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AB - 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 gammadistributed random variables with power-law variance-to-mean dependence. Its normalizing and variance-stabilizing properties are studied.

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Transformation of image-signal-dependent noise into imagesignal-independent noise

Abstract

All Science Journal Classification (ASJC) codes

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