Comparative Study on Infrared Image De-noising Based on Matlab

被引：0
|
作者：
Qi, Chao [1 ]
Cui, Suixing [2 ]
Zhou, Zhiyu [3 ]
机构：
[1] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Hlj, Peoples R China
[2] Harbin Univ Sci & Technol, Harbin 150080, Hlj, Peoples R China
[3] North China Elect Power Univ, Beijing 102206, Peoples R China
来源：
INTELLIGENT COMPUTING FOR SUSTAINABLE ENERGY AND ENVIRONMENT | 2013年 / 355卷
关键词：
Infrared Image; algorithm; mage Processing; Matlab;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As the significant link of the image preprocessing, image de-noising has an effect on subsequent research work that cant be ignored. Infrared image de-noising based on the Matlab digital image processing environment is studied. The infrared image with different noises by different algorithms, such as average filtering, median filtering, multi-image average de-noising algorithm, low pass filtering and wavelet transform de-noising algorithm, are analyzed and processed. At last, via analyzing these algorithms for different noises and their owe characteristics comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.
引用
收藏
页码：66 / 75
页数：10
相关论文
共 50 条
  • [1] A Comparative Study of Iterative Solvers for Image De-noising
    Jain, Subit K.
    Ray, Rajendra K.
    Bhavsar, Arnav
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2, 2015, 328 : 307 - 314
  • [2] Comparative study of DR image De-noising method based on quality parameters
    Chakraborty, Monisha
    Mondal, Manishankar
    FOUNDATIONS AND FRONTIERS IN COMPUTER, COMMUNICATION AND ELECTRICAL ENGINEERING, 2016, : 299 - 303
  • [3] A de-noising algorithm of infrared image contrast enhancement
    Zhang, Changjiang
    Wang, Xiaodong
    Zhang, Haoran
    ADVANCES IN MACHINE LEARNING AND CYBERNETICS, 2006, 3930 : 1060 - 1069
  • [4] Study on LWT De-noising of Apple Image
    Dong Haiying
    Wang Kejun
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 934 - 937
  • [5] Region based document image de-noising
    Zhou Qing-Wen
    Wang Kai
    You Hong-Jiang
    Wang Qing-Ren
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820
  • [6] De-noising the Speech Signal With FIR Filter Based on Matlab
    Wei, Yanxin
    Fan, Xiujuan
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 1067 - 1072
  • [7] A Study of Infrared Spectroscopy De-noising Based on LMS Adaptive Filter
    Mo, Jia-qing
    Lv, Xiao-yi
    Yu, Xiao
    MIPPR 2015: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2015, 9815
  • [8] A Comparative Study of Noise Effect on Wavelet Based De-noising Methods
    Xie, Shengkun
    Lio, Pietro
    Lawniczak, Anna T.
    IEEE TIC-STH 09: 2009 IEEE TORONTO INTERNATIONAL CONFERENCE: SCIENCE AND TECHNOLOGY FOR HUMANITY, 2009, : 919 - 926
  • [9] A Bilateral Filtering Based Image De-noising Algorithm for Nighttime Infrared Monitoring Images
    Wang Zhong-ce
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 1, 2014, : 199 - 203
  • [10] Multichannel SVD-based image de-noising
    Wongsawat, Y
    Rao, KR
    Oraintara, S
    2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, : 5990 - 5993
12345