Noise Adaptive Wiener Filtering of Images

被引：0

作者：

Petkova, Lora ^{[1
]}

Draganov, Ivo ^{[1
]}

机构：

[1] Tech Univ Sofia, Fac Telecommun, 8 Kliment Ohridski Blvd, Sofia 1756, Bulgaria

来源：

2020 55TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES (IEEE ICEST 2020) | 2020年

关键词：

Image denoising; Gaussian noise; Wiener filter; Adaptive filtration;

D O I：

10.1109/icest49890.2020.9232887

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：

In this paper we propose a technique for application of the Wiener filter over images with unknown level of present Gaussian noise. The variance of the noise is predicted by exploring the intensity distribution of relatively homogenous areas from the image and then passed to the Wiener filter as an input argument prior to applying it in contrast to its traditional implementation. Also, extensive study has been made on the influence of the filter mask size over the quality of processed images given this approach. Promising results are gathered with comparison to the original implementation of the Wiener filter.

引用

页码：177 / 180

页数：4

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