A comparative study of classical and fuzzy filters for noise reduction

被引:0
|
作者
Nachtegael, M [1 ]
Van der Weken, D [1 ]
Van De Ville, D [1 ]
Kerre, E [1 ]
Philips, W [1 ]
Lemahieu, I [1 ]
机构
[1] State Univ Ghent, FUM, Dept Appl Math & Comp Sci, B-9000 Ghent, Belgium
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we present the results of a comparative study of classical and fuzzy filters for image noise reduction. The discussed fuzzy filters are classified, and their performance is compared with classical filters and evaluated by numerical and visual experiments.
引用
收藏
页码:11 / 14
页数:4
相关论文
共 50 条
  • [1] An overview of classical and fuzzy-classical filters for noise reduction
    Nachtegael, M
    Van der Weken, D
    Van De Ville, D
    Kerre, E
    Philips, W
    Lemahieu, I
    [J]. 10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 3 - 6
  • [2] Parallelization of fuzzy-classical filters for image noise reduction
    Vahdat-Nejad, Hamed
    Zolfaghari, Hosneyeh
    Monsefi, Reza
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2007, : 25 - +
  • [3] An overview of fuzzy filters for noise reduction
    Nachtegael, M
    Van der Weken, D
    Van De Ville, D
    Kerre, E
    Philips, W
    Lemahieu, I
    [J]. 10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 7 - 10
  • [4] Fuzzy filters for noise reduction: The case of Gaussian noise
    Nachtegael, M
    Schulte, S
    Van der Weken, D
    De Witte, V
    Kerre, EE
    [J]. FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD, 2005, : 201 - 206
  • [5] An implementation of tunable fuzzy filters for mixed noise reduction
    Muneyasu, M
    Asou, K
    Wada, Y
    Taguchi, A
    Hinamoto, T
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2001, E84A (02) : 482 - 484
  • [6] Noise Reduction using Multilevel Hybrid Filters for Ultrasound Images: A Comparative Study
    Kavitha, G.
    Prakash, Chetana
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020), 2020, : 88 - 92
  • [7] A Study of the LCMV and MVDR Noise Reduction Filters
    Souden, Mehrez
    Benesty, Jacob
    Affes, Sofiene
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (09) : 4925 - 4935
  • [8] THE COMPARATIVE STUDY OF FUZZY ROUGH REDUCTION
    Tsang, Eric C. C.
    Zhao, Suyun
    [J]. PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOL. 2, 2015, : 753 - 758
  • [9] A Comparative Analysis of Filters for Noise Reduction and Smoothening of Brain MRI Images
    Shedbalkar, Jayashree
    Prabhushetty, K.
    Inchalc, Abhayakumar
    [J]. 2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021,
  • [10] Comparative study of noise and digital filters for image processing
    Sheikh, Sabha
    Suthar, Bhivraj
    Tamanna
    Uddin, Moin
    [J]. 2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN CONTROL, COMMUNICATION AND INFORMATION SYSTEMS (ICICCI-2017), 2017, : 369 - 374