Estimation of image noise variance

被引：178

作者：

Rank, K ^{[1
]}

Lendl, M ^{[1
]}

Unbehauen, R ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Lehrstuhl Allgemeine & Theoret Elektrotech, D-91058 Erlangen, Germany

来源：

IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING | 1999年 / 146卷 / 02期

关键词：

D O I：

10.1049/ip-vis:19990238

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel algorithm for estimating the noise variance of an image is presented. The image is assumed to be corrupted by Gaussian distributed noise. The algorithm estimates the noise variance in three steps. At first the noisy image is filtered by a horizontal and a vertical difference operator to suppress the influence of the (unknown) original image. In a second step a histogram of local signal variances is computed. Finally a statistical evaluation of the histogram provides the desired estimation value. For a comparison with several previously published estimation methods an ensemble of 128 natural and artificial test images is used. It is shown that with the novel algorithm more accurate results can be achieved.

引用

页码：80 / 84

页数：5

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