Prucnal P R, Saleh B E
Columbia Radiation Laboratory, Department of Electrical Engineering, Columbia University, New York, New York 10027, USA.
Opt Lett. 1981 Jul 1;6(7):316-8. doi: 10.1364/ol.6.000316.
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.
提出了一种点变换，即归一化变换，当将其应用于测量的噪声图像时，可使噪声信号相互独立。该变换适用于任意噪声与信号的相关性。我们以属于具有幂律方差与均值相关性的伽马分布随机变量族的噪声信号为例，展示了其适用性和局限性。研究了其归一化和方差稳定特性。
