Abstract

A point transformation is applied to images degraded by film-grain noise in order to transform the noise into approximately signal-independent additive Gaussian noise. The condition for validity of this technique is that the emulsion noise follow the square-root law predicted by the classical model of film-grain noise. We also assume that the scanning aperture is large compared with the grain size. Once the image has been transformed in this way, the appropriate least-squares filtering technique may be applied to the image. Experiments on two Kodak emulsions show that the technique works well over a range of diffuse densities up to densities of 2.

© 1981 Optical Society of America

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

H. H. Arsenault and M. Denis
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Estimation in signal-dependent film-grain noise

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Effect of Film-Grain Noise on the Performance of Holographic Memory

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