Image restoration in the presence of impulse noise by adaptive equidistant median filter

被引:0
作者
Jiayi Chen
Wentao Zuo
Yinwei Zhan
机构
[1] Guangdong Medical University,School of Biomedical Engineering
[2] Guangzhou College of Technology and Business,Department of Computer Science and Engineering
[3] Guangdong University of Technology,School of Computer Science and Technology
来源
Multimedia Tools and Applications | 2022年 / 81卷
关键词
Image restoration; Noise detection; Switching median filter; Circular neighborhood; Equidistant median filter;
D O I
暂无
中图分类号
学科分类号
摘要
After widely studying the methods in literatures for impulse noise removal, aiming at overcoming their deficiencies and further improving the denoising performance, we propose an adaptive equidistant median filter for image restoration in the presence of impulse noise. As an improved and effective alternative to the square neighborhood, the circular neighborhood is proposed for noise detection and removal processing. A noise detector based on adaptive local statistics is proposed, followed by a noise removal technique gaining support from adaptive equidistant median proposed subsequently. Furthermore, the noise removal processing is performed adaptively so as to be robust for various noise densities. Experimental results have shown that the proposed method has substantially improved the performance in noise detection and removal, and is superior than the state-of-the-art filters with excellent capability of noise removal and structural information preservation.
引用
收藏
页码:20407 / 20423
页数:16
相关论文
共 74 条
[1]  
Çalışkan A(2018)An efficient noisy pixels detection model for CT images using extreme learning machines The Vjesn 25 679-686
[2]  
Çevik U(2007)A new directional weighted median filter for removal of random-valued impulse noise IEEE Signal Proc Let 14 193-196
[3]  
Dong Y(2018)Fast adaptive and selective mean filter for the removal of high-density salt and pepper noise IET Image Process 12 1378-1387
[4]  
Xu S(2020)Modified decision based unsymmetric adaptive neighborhood trimmed mean filter for removal of very high density salt and pepper noise Multimed Tools Appl 79 19739-19768
[5]  
Fareed SBS(2017)A new cluster based adaptive fuzzy switching median filter for impulse noise removal Multimed Tools Appl 76 22001-22018
[6]  
Khader SS(2013)Efficient improvements on the BDND filtering algorithm for the removal of high-density impulse noise IEEE T Image Process 22 1223-1232
[7]  
Goel N(2012)Iterative truncated arithmetic mean filter and its properties IEEE T Image Process 21 1537-1547
[8]  
Kaur H(2017)An adaptive decision based interpolation scheme for the removal of high density salt and pepper noise in images Eurasip J Image Vide 2017 1-4
[9]  
Saxena J(2015)A simple and efficient median filter for removing high-density impulse noise in images Int J Fuzzy Syst 17 67-75
[10]  
Hussain A(2018)A robust edge detection approach in the presence of high impulse noise intensity through switching adaptive median and fixed weighted mean filtering IEEE T Image Process 27 5475-5490