Edge preserving image denoising method based on averaging

被引：0

作者：

Duman, Elvan ^{[1
]}

Erdem, O. Ayhan ^{[1
]}

机构：

[1] Gazi Univ, Teknol Fak, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey

来源：

2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年

关键词：

Image processing; Image denoising; Mean filter; Edge preserving;

D O I：

暂无

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：

Image denoising is an important task in image processing. Various filtering techniques has been developed for image denoising but the algorithms have specific limitations. The main feature of a good image denoising technique is that it will remove noise while preserving structure of image. In this paper, we present a new image denoising method based on averaging. The denoising performance is measured according to PSNR (Peak Signal-to-Nosie Ratio) metric by employing experiments. Experimental results show that the proposed method removes noise significantly and preserve image edges.

引用

页码：1857 / 1860

页数：4

共 10 条

[1] Adaptive edge-preserving image denoising using wavelet transforms [J].