Based on combining homomorphic and adaptive fuzzy multilevel median filtering for restoration of images degraded by speckle noise

Qi Wang; Li Hui Jiang; Ning Li; Xiang Yang Cheng; Hai Hong Wang; Tei Liang Shang

Based on combining homomorphic and adaptive fuzzy multilevel median filtering for restoration of images degraded by speckle noise

Qi Wang^*
, Li Hui Jiang
, Ning Li
, Xiang Yang Cheng
, Hai Hong Wang
, Tei Liang Shang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

An algorithm of combining homomorphic and adaptive fuzzy multilevel median filter is proposed, which is applied to restoring images degraded by speckle noise. Simulation results show that the algorithm can not only preserve the geometrical features of images but also effectively suppress speckle noise in images. Through comparison, it is proved that the algorithm is superior to the algorithm of combining homomorphic and multilevel median filter.

Original language	English
Pages (from-to)	655-657
Number of pages	3
Journal	Zhongguo Jiguang/Chinese Journal of Lasers
Volume	28
Issue number	7
State	Published - Jul 2001

Keywords

Adaptive fuzzy multilevel median filter
Homomorphic filter
Image restoration
Speckle noise

Cite this

@article{2d3743b5a6fc41018d440a56b8dff370,

title = "Based on combining homomorphic and adaptive fuzzy multilevel median filtering for restoration of images degraded by speckle noise",

abstract = "An algorithm of combining homomorphic and adaptive fuzzy multilevel median filter is proposed, which is applied to restoring images degraded by speckle noise. Simulation results show that the algorithm can not only preserve the geometrical features of images but also effectively suppress speckle noise in images. Through comparison, it is proved that the algorithm is superior to the algorithm of combining homomorphic and multilevel median filter.",

keywords = "Adaptive fuzzy multilevel median filter, Homomorphic filter, Image restoration, Speckle noise",

author = "Qi Wang and Jiang, \{Li Hui\} and Ning Li and Cheng, \{Xiang Yang\} and Wang, \{Hai Hong\} and Shang, \{Tei Liang\}",

year = "2001",

month = jul,

language = "英语",

volume = "28",

pages = "655--657",

journal = "Zhongguo Jiguang/Chinese Journal of Lasers",

issn = "0258-7025",

publisher = "Chinese Laser Press",

number = "7",

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TY - JOUR

T1 - Based on combining homomorphic and adaptive fuzzy multilevel median filtering for restoration of images degraded by speckle noise

AU - Wang, Qi

AU - Jiang, Li Hui

AU - Li, Ning

AU - Cheng, Xiang Yang

AU - Wang, Hai Hong

AU - Shang, Tei Liang

PY - 2001/7

Y1 - 2001/7

N2 - An algorithm of combining homomorphic and adaptive fuzzy multilevel median filter is proposed, which is applied to restoring images degraded by speckle noise. Simulation results show that the algorithm can not only preserve the geometrical features of images but also effectively suppress speckle noise in images. Through comparison, it is proved that the algorithm is superior to the algorithm of combining homomorphic and multilevel median filter.

AB - An algorithm of combining homomorphic and adaptive fuzzy multilevel median filter is proposed, which is applied to restoring images degraded by speckle noise. Simulation results show that the algorithm can not only preserve the geometrical features of images but also effectively suppress speckle noise in images. Through comparison, it is proved that the algorithm is superior to the algorithm of combining homomorphic and multilevel median filter.

KW - Adaptive fuzzy multilevel median filter

KW - Homomorphic filter

KW - Image restoration

KW - Speckle noise

UR - https://www.scopus.com/pages/publications/0035410147

M3 - 文章

AN - SCOPUS:0035410147

SN - 0258-7025

VL - 28

SP - 655

EP - 657

JO - Zhongguo Jiguang/Chinese Journal of Lasers

JF - Zhongguo Jiguang/Chinese Journal of Lasers

IS - 7

ER -

Based on combining homomorphic and adaptive fuzzy multilevel median filtering for restoration of images degraded by speckle noise

Abstract

Keywords

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