Image Denoising Algorithm Based on Independent Component Analysis

被引：2
|
作者：
Li, Hong-yan [1 ]
Ren, Guang-long [1 ]
Xiao, Bao-jin [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Informat Engn, Taiyuan 030024, Peoples R China
来源：
2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS | 2009年
关键词：
Independent component analysis; Blind sources separation; Image denoising; FIXED-POINT ALGORITHM;
D O I：
10.1109/WCSE.2009.68
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Image denoisng algorithm based on independent component analysis is proposed. The standard independent component analysis algorithm require that the number of sensors is more than or equal to that of sources, so it is impossible to apply independent component analysis to single channel image denoising directly. In this paper, a single channel image denoising algorithm is proposed by constructing a noise image to as another observation signal for single channel noise reduction based on independent component analysis, thereby noise and original image can be separated through independent component analysis. Simulation result shows that much better denoising effect and signal-noise ration can be obtained by using this algorithm.
引用
收藏
页码：465 / 469
页数：5
相关论文
共 50 条
  • [1] Image Denoising based on Independent Component Analysis
    Liu Jicheng
    Zhang Yi
    [J]. 2009 INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS, VOL 1, PROCEEDINGS, 2009, : 18 - 20
  • [2] An Adaptive Image Denoising Algorithm Based On Wavelet Transform And Independent Component Analysis
    Liu Zongang
    Wang Tong
    [J]. PROCEEDINGS 2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS ISDEA 2015, 2015, : 104 - 107
  • [3] IMAGE DENOISING BY INDEPENDENT COMPONENT ANALYSIS BASED ON DYADIC WAVELET TRANSFORM
    Huang, Zheng-Hong
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 351 - 354
  • [4] A new method of image feature extraction and denoising based on independent component analysis
    Yu, Ying
    Yang, Jian
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-3, 2006, : 380 - +
  • [5] Image Tracking and Analysis Algorithm by Independent Component Analysis
    Yu, Cheng-Yi
    Chang, Yi-Ying
    Ouyang, Yen-Chieh
    Tai, Shen-Chuan
    Yu, Tzu-Wei
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 1622 - +
  • [6] An Algorithm of Fire Image Separation Based on Geometric Independent Component Analysis
    Yu, Lu
    Bu, Le-Ping
    Yan, Li-Bin
    [J]. INTERNATIONAL CONFERENCE ON MECHANISM SCIENCE AND CONTROL ENGINEERING (MSCE 2014), 2014, : 339 - 344
  • [7] 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
  • [8] Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis
    Fiori, Simone
    [J]. COMPUTATION, 2021, 9 (07)
  • [9] Image denoising using self-organizing map-based nonlinear independent component analysis
    Haritopoulos, M
    Yin, HJ
    Allinson, NM
    [J]. NEURAL NETWORKS, 2002, 15 (8-9) : 1085 - 1098
  • [10] Research & realization of image separation method based on Independent Component Analysis & genetic algorithm
    Yang, JA
    Tao, L
    Zhuang, ZQ
    Guo, L
    [J]. SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2, 2002, 4875 : 575 - 582
12345