Image Denoising based on Independent Component Analysis

被引：1
|
作者：
Liu Jicheng [1 ]
Zhang Yi [1 ]
机构：
[1] Daqing Petr Inst, Inst Elect & Informat Engn, Daqing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS, VOL 1, PROCEEDINGS | 2009年
关键词：
ICA; Image de-noising; separation of noisy mixed images;
D O I：
10.1109/IHMSC.2009.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Independent component analysis (ICA) is a new meathod of blind source separation. A method of image denoising based on ICA is presented in this article. It can separate noisy mixed images effectively. The principle of ICA and FastICA algorithm based on negentropy criterion are introduced. The results of the experiments are given. The results show it can effectively denoising of images, and separation of mixed images.
引用
收藏
页码：18 / 20
页数：3
相关论文
共 50 条
  • [31] A novel efficient Image Compression System based on Independent Component Analysis
    Shahid, Zafar
    Dupont, Florent
    Baskurt, Atilla
    [J]. WAVELET APPLICATIONS IN INDUSTRIAL PROCESSING VI, 2009, 7248
  • [32] New Image Encryption and Compression Method Based on Independent Component Analysis
    Ito, Masanori
    Ohnishi, Noboru
    Alfalou, Ayman
    Mansour, Ali
    [J]. 2008 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5, 2008, : 1141 - +
  • [33] Content based multispectral image retrieval using Independent Component Analysis
    Shahbazi, Hamed
    Kabiri, Peyman
    Soryani, Mohsen
    [J]. CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGS, 2008, : 485 - 489
  • [34] A Novel Image Denoising Method Using Independent Component Analysis And Dual-Tree Complex Wavelet Transform
    Zhang, Shi
    Tang, Tingting
    Wu, Chunli
    Xi, Ning
    Wang, Gang
    [J]. 2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [35] A COMPARISON OF DICTIONARY BASED APPROACHES TO INPAINTING AND DENOISING WITH AN EMPHASIS TO INDEPENDENT COMPONENT ANALYSIS LEARNED DICTIONARIES
    Filipovic, Marko
    Kopriva, Ivica
    [J]. INVERSE PROBLEMS AND IMAGING, 2011, 5 (04) : 815 - 841
  • [36] A Radio Grid Monitoring Method Based on Independent Component Analysis with Empirical Mode Decomposition Denoising
    Zhang, Jingshu
    Yue, Yu
    Li, Dou
    Yang, Yanjun
    Zhao, Yuping
    [J]. 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS), 2018, : 127 - 131
  • [37] Hybrid adaptive algorithm based on wavelet transform and independent component analysis for denoising of MRI images
    Rai, Hari Mohan
    Chatterjee, Kalyan
    [J]. MEASUREMENT, 2019, 144 : 72 - 82
  • [38] Study on denoising of corrosion acoustic emission signals of tank bottom based on independent component analysis
    Yu, Yang
    Zhao, Jia
    [J]. INTELLIGENT MATERIALS, APPLIED MECHANICS AND DESIGN SCIENCE, 2012, 142 : 180 - 183
  • [39] Joint denoising method of seismic velocity signal and acceleration signals based on independent component analysis
    Zhang, Guangde
    Zhang, Huaibang
    You, Li
    Yang, Yuyong
    Zhou, Huailai
    Zhang, Bohan
    Chen, Wujin
    Liu, Liyuan
    [J]. FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [40] An EEG signal denoising method based on ensemble empirical mode decomposition and independent component analysis
    Sun, Huimin
    Cheng, Jun
    Ma, Zheng
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS), 2018, : 401 - 405
12345