Robust remove noise using multiple degraded images

被引:0
|
作者
Department of Mathematics, East China Normal University, Shanghai 200062, China [1 ]
不详 [2 ]
机构
来源
Chin J Electron | 2008年 / 2卷 / 305-308期
关键词
Image quality - Image reconstruction - Mathematical models - Spurious signal noise;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we propose a model to remove noise or deblurring by multiple degraded images. In the algorithm, we introduce robust L1 norm data fidelity term and bilateral total variation regularization term. Experimental results show that our algorithm is effective.
引用
收藏
相关论文
共 50 条
  • [1] Robust remove noise using multiple degraded images
    Ruihua, Liu
    Fang, Li
    CHINESE JOURNAL OF ELECTRONICS, 2008, 17 (02): : 305 - 308
  • [2] Robust statistics based algorithm to remove salt and pepper noise in images
    Vijaykumar, V.R.
    Vanathi, P.T.
    Kanagasabapathy, P.
    Ebenezer, D.
    World Academy of Science, Engineering and Technology, 2009, 35 : 766 - 775
  • [3] Robust Binarization of Degraded Document Images Using Heuristics
    Parker, Jon
    Frieder, Ophir
    Frieder, Gideon
    DOCUMENT RECOGNITION AND RETRIEVAL XXI, 2014, 9021
  • [4] Noise removal for degraded images with Poisson noise using M-transformation and BayesShrink method
    Li, Yeqiu
    Lu, Jianming
    Wang, Ling
    Yahagi, Takashi
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2007, 90 (11): : 11 - 20
  • [5] A Robust Boundary Localization for Degraded Iris Images
    Li Tianping
    Wang Xiaowei
    ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 986 - 990
  • [6] RESTORATION OF IMAGES DEGRADED BY MOTION BLUR AND NOISE
    KATAYAMA, T
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1982, 27 (05) : 1024 - 1033
  • [7] Peer Group and Fuzzy Metric to Remove Noise in Images Using Heterogeneous Computing
    Guadalupe Sanchez, Ma.
    Vidal, Vicente
    Bataller, Jordi
    EURO-PAR 2011: PARALLEL PROCESSING WORKSHOPS, PT I, 2012, 7155 : 502 - 510
  • [8] REDUCTION OF OBSCURATION NOISE USING MULTIPLE IMAGES
    NOMURA, Y
    NARUSE, H
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1988, 10 (02) : 267 - 270
  • [9] Combining robust statistical and 1D Laplacian operators using genetic programming to detect and remove impulse noise from images
    Javed, Syed Gibran
    Majid, Abdul
    Kausar, Nabeela
    2015 13TH INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY (FIT), 2015, : 18 - 23
  • [10] A Variational Model to Remove the Multiplicative Noise in Ultrasound Images
    Zhengmeng Jin
    Xiaoping Yang
    Journal of Mathematical Imaging and Vision, 2011, 39 : 62 - 74