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Switching median and morphological filter for impulse noise removal from digital images

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成果类型:
期刊论文
作者:
Yuan, Cao;Li, Yaqin*
通讯作者:
Li, Yaqin
作者机构:
[Li, Yaqin; Yuan, Cao] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei Province, Peoples R China.
[Li, Yaqin] Wuhan Polytech Univ, Sch Math & Comp Sci, 68 Xuefu South Rd, Wuhan, Hubei Province, Peoples R China.
通讯机构:
[Li, Yaqin] W
Wuhan Polytech Univ, Sch Math & Comp Sci, 68 Xuefu South Rd, Wuhan, Hubei Province, Peoples R China.
语种:
英文
关键词:
Image denoising;Mathematical morphology;Median filters;Pixels;Decision based filter;Dilation operators;Extensive simulations;Impulse noise removals;Morphological filters;Morphological gradient;Morphological operations;Noise detectors;Impulse noise
期刊:
Optik
ISSN:
0030-4026
年:
2015
卷:
126
期:
18
页码:
1598-1601
基金类别:
Natural Science Foundation of Hubei Province of ChinaNatural Science Foundation of Hubei Province [Q20131706]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [61350001]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
A switching median and morphological filter is presented for removing impulse noise. In the proposed filter, the noise detector is first adopted to identify noise pixels by combining the morphological gradient based on the erosion and dilation operators with the top-hat transform. Then the detected impulses are removed by the hybrid filter, which combines the improved median filter using only the noise-free pixels with the conditional morphological filter using the improved morphological operations. Extensive simulations demonstrate that the pr...

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