Sub-Window Inverse Distance Weighting Method for Removing Salt-and-Pepper Noise

被引：0

作者：

Cumpim, Chaipichit ^{[1
]}

Punchalard, Rachu ^{[2
]}

机构：

[1] Mahanakorn Univ Technol, Fac Engn, Elect Engn Grad Program, Bangkok 10530, Thailand

[2] Mahanakorn Univ Technol, Fac Engn, Dept Telecommun Engn, Bangkok 10530, Thailand

来源：

2017 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON) | 2017年

关键词：

Inverse distance weighting; Salt-and-pepper noise; Impulse noise; Image filter; SWITCHING MEDIAN FILTER; CORRUPTED IMAGES; INTERPOLATION; ALGORITHM;

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：

In this paper, the inverse distance weighting (IDW) is utilized in order to restore contaminated images which are corrupted by the salt-and-pepper noise (SPN). Our method consists of three steps. The first step, the noise candidate pixels are identified by the adaptive median filter. For the second step, the noisy image is divided into many sub-windows. The last step, for each sub-window from previous step, the IDW is applied to calculate the new pixel values that use the neighbour uncorrupted pixels in each sub-region. The results of experiments demonstrate that the proposed technique is better performance than the existing methods.

引用

页数：4

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