An Image denoising algorithm based on Kuwahara filter

被引：0

作者：

Guo, Pan ^{[1
]}

Gong, Xin ^{[1
]}

Zhang, Liying ^{[1
]}

Li, Xuejun ^{[1
]}

He, Wenchao ^{[1
]}

Xu, Ting ^{[1
]}

机构：

[1] Northeast Normal Univ, Coll Humanities & Sci, Sch Informat Technol & Engn, Changchun, Jilin, Peoples R China

来源：

2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年

关键词：

image denoising; Kuwahara filter; Shearlets transform;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the readability of digital image, the image denoising algorithm is studied. The algorithm is performed using a combination of Kuwahara filter and non-subsampling Shearlets transform (NSST). Firstly, the image with noise is decomposed in multiple scales and in multiple directions by NSST, that is, the low frequency coefficients and high frequency coefficients are obtained, and then the threshold is processed to remove most of the noise effectively. Then, the filtered coefficient is transformed into NSST inverse transformation, and the denoising image 1 is obtained. Finally, the de-noising image 1 is filtered by the Kuwahara filter, and the final de-noising image is obtained. While de-noising, the Kuwahara filter can well retain the edge, contour and other details of the image. Through experimental simulation, this algorithm has the advantage of image denoising and can get high quality image denoising. By comparing objective evaluation indexes, this method is effective for image denoising.

引用

页码：2307 / 2311

页数：5

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