A Salt & Pepper Noise Optimal Iterative Filtering Algorithm Based on Potential Function

Computer & Telecommunication

2015, Vol. 1

Issue (3): 18-20 DOI:

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A Salt & Pepper Noise Optimal Iterative Filtering Algorithm Based on Potential Function

Zhou Junni，Tian Jilong，Wang Yanni，Dong Hui，Zhang Shaokun

School of Information and Control Engineering, Xi’an University of Architecture and Technology

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Abstract To reduce the influence of salt & pepper noise in images on subsequent image processing, a high-density salt & pepper noise filtering algorithm based on noise detection is proposed for high-density noise polluted images in this paper. Considering that potential function has the ability of edge-preserving, detailed image information is protected in a maximum scale and high-density noise polluted images can be restored. Experiment results show that the filtering algorithm presented in this article has high selfadaptability and good filtering effect.

Key words： salt & pepper noise potential function adaptive filtering

Published: 27 October 2017

TP391.413

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	Articles by authors
	Zhou Junni
	Tian Jilong
	Wang Yanni
	Dong Hui
	Zhang Shaokun

Cite this article:

Zhou Junni, Tian Jilong, Wang Yanni, Dong Hui, Zhang Shaokun. A Salt & Pepper Noise Optimal Iterative Filtering Algorithm Based on Potential Function. Computer & Telecommunication, 2015, 1(3): 18-20.

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https://www.computertelecom.com.cn/EN/ OR https://www.computertelecom.com.cn/EN/Y2015/V1/I3/18

参考文献：

[1] 王妍玮等.单片机课程设计实践教学[J].科技教育，2010(1)：178-179.

[2] 陈艳丽，刘小燕.“单片机原理与应用”教学改革探讨[J].中国电力教育，2010(1)：74-75.

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