Statistical noise simulation for image processing purposes

被引：6

作者：

Vlad, A ^{[1
]}

Ferecatu, M ^{[1
]}

Oprisan, P ^{[1
]}

机构：

[1] UNIV POLITEHN BUCHAREST,DEPT ELECT & TELECOMMUN,R-77202 BUCHAREST,ROMANIA

来源：

OPTICAL ENGINEERING | 1996年 / 35卷 / 06期

关键词：

random signal simulation; noise image; gamma distribution; autocorrelation function; statistical tests;

D O I：

10.1117/1.600762

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

There are several image processing algorithms for enhancement, restoration, segmentation or feature extraction that assume known statistical distribution for the noise from a corrupted image. Usually this noise is considered uncorrelated, but there are many cases where the strength of a certain algorithm must be tested for spatially correlated noise. Our main point is to derive a method for controlling the autocorrelation function of gamma distributed noise images. The exponential case is included. An uncorrelated noise generating algorithm that yields Gaussian, exponential and gamma distributed images of a good statistical quality is also presented. (C) 1996 Society of Photo-Optical lnstrumentation Engineers.

引用

页码：1590 / 1599

页数：10

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OPTICAL ENGINEERING, 1993, 32 (05) :982-992

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