A Novel Median Filter to Iteratively Remove Salt-and-Pepper Noise from Highly Corrupted Images

LAN Xia; LIU Xinxin; SHEN Huanfeng; YUAN Qiangqiang; ZHANG Liangpei

doi:10.13203/j.whugis20150520

Volume 42 Issue 12

Dec. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(12): 1731-1737. > DOI: 10.13203/j.whugis20150520

LAN Xia, LIU Xinxin, SHEN Huanfeng, YUAN Qiangqiang, ZHANG Liangpei. A Novel Median Filter to Iteratively Remove Salt-and-Pepper Noise from Highly Corrupted Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1731-1737. DOI: 10.13203/j.whugis20150520

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A Novel Median Filter to Iteratively Remove Salt-and-Pepper Noise from Highly Corrupted Images

LAN Xia^1,,
LIU Xinxin²,
SHEN Huanfeng^{2, 3, ,},
YUAN Qiangqiang^{3, 4},
ZHANG Liangpei^{3, 5}

1.
The 10 th Institute of China Electronics Technology Group Corporation, Chengdu 610036, China
2.
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
3.
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
4.
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
5.
The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41401383

The National Natural Science Foundation of China 41401396

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Author Bio:
LAN Xia, PhD, specializes in signal and information processing. E-mail: lanxia2004@163.com
Corresponding author:
SHEN Huanfeng, PhD, professor. E-mail: shenhf@whu.edu.cn
Received Date: July 26, 2016
Published Date: December 04, 2017

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Abstract

Abstract

In this paper, we propose a simple but efficient filter to effectively remove salt-and-pepper noise from highly corrupted images inspired by the corresponding limitations of existing filtering methods. After ensuring the location of ill pixels based on their intensity value, our method then utilizes the iterative processing framework to gradually restore the noisy images. When the useful information of one corrupted image is much enough, the proposed method can refine the results through particular designed criterion. The experiments from standard test images show that the proposed method can better recover the detail information and maintain the optimal performances qualitatively and quantitatively in the comparisons. Even the ratio of salt-and-pepper noise is as high as 95%, the advantage of our filter is still significant.
- salt-and-pepper noise,
- median filter,
- iteration,
- noise removal,
- high density

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References

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