Abstract

A previously published technique that combined a homomorphic transformation with a locally adaptive algorithm for image restoration in the presence of signal-dependent noise has been adapted for the case when the model for the. signal-dependent noise is unknown. The noise variance required for the homomorphic transformation is estimated from measurements over a small window, and the homomorphic transformation to make the noise additive is incorporated noise into the locally adaptive algorithm, resulting in a modified James–Stein algorithm valid for any signal- dependent noise.

© 1986 Optical Society of America

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