Median filter based on fuzzy rules and its application to image restoration

被引：142
作者：
Arakawa, K
机构：
[1] Department of Computer Science, Meiji University, 1-1-1, Higashimita, Tama-ku, Kawasaki
来源：
FUZZY SETS AND SYSTEMS | 1996年 / 77卷 / 01期
关键词：
engineering; fuzzy signal processing; image processing; image restoration; noise reduction;
D O I：
10.1016/0165-0114(95)00122-0
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A novel median-type filter controlled by fuzzy rules is proposed in order to remove impulsive noises on signals such as images. Median filter is well known for removing impulsive noises but this filter distorts the fine structure of signals as well. The filter proposed here is obtained as a weighted sum of the input signal and the output of the median filter, and the weight is set based on fuzzy rules concerning the states of the input signal sequence. Moreover, this weight is obtained optimally by a learning method, so that the mean square error of the filter output for some training signal data can be the minimum. Some results of image processing show the high performance of this filter. Moreover, the influence of the training signal on the filter performance is shown.
引用
收藏
页码：3 / 13
页数：11
相关论文
共 50 条
  • [21] IMPROVED ADAPTIVE FUZZY PUNCTUAL KRIGING FILTER FOR IMAGE RESTORATION
    Chaudhry, Asmatullah
    Kim, Jin Young
    Tran Anh Tuan
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (02): : 583 - 598
  • [22] A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
    Ayyaz Hussain
    M. Arfan Jaffar
    Anwar M. Mirza
    Knowledge and Information Systems, 2010, 24 : 77 - 90
  • [23] Fuzzy reasoning-based directional median filter design
    Kang, Chung-Chia
    Wang, Wen-June
    SIGNAL PROCESSING, 2009, 89 (03) : 344 - 351
  • [24] A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
    Hussain, Ayyaz
    Jaffar, M. Arfan
    Mirza, Anwar M.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2010, 24 (01) : 77 - 90
  • [25] MEDICAL IMAGE RESTORATION METHOD BASED ON NEIGHBORHOOD REGISTRATION AND ITS APPLICATION
    You, Yaxiong
    Shi, Xunjie
    Liu, Zhe
    Wang, Rui
    Li, Chongji
    Yang, Yanlong
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2024, 24 (09)
  • [26] Guided regularization and its application for image restoration
    Wu, Jiacheng
    Tang, Liming
    Ye, Biao
    Fang, Zhuang
    Ren, Yanjun
    APPLIED MATHEMATICAL MODELLING, 2024, 133 : 436 - 459
  • [27] Partition center weighted median filter for image denoising
    Ge, Hongwei
    Wang, Shitong
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 451 - 455
  • [28] Algorithm design of fuzzy filter based on salt-and-pepper noise with high probability in image restoration
    Wang, Gui-Jun
    Yang, Yong-Qiang
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2015, 43 (01): : 24 - 29
  • [29] Motion analysis in image sequences and its application to image restoration
    Choung, YC
    Kang, SK
    Paik, JK
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 1999, E82A (06) : 893 - 898
  • [30] ADAPTIVE HISTOGRAM-BASED FILTER FOR IMAGE RESTORATION
    Wang Baoping Fan Jiulun Xie Weixin Wu Chengmao(School of Electronics Engineering
    Journal of Electronics(China), 2004, (04) : 306 - 313
12345