Decision-Based Marginal Diffusion for Salt-and-Pepper Noise Removal in Color Images

被引:1
作者
Deng, Hongyao [1 ]
Song, Xiuli [2 ]
Fan, Huilian [1 ]
机构
[1] Yangtze Normal Univ, Coll Comp Engn, 98 Julong Rd,Fuling Dist, Chongqing 408100, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Cyber Secur & Informat Law, 2 Chongwen Road,Nanan Dist, Chongqing 400065, Peoples R China
关键词
Anisotropic diffusion; marginal approach; noise detection; impulse noise; cyber-physical systems; IMPULSE NOISE; EDGE-DETECTION; MEDIAN FILTER; RESTORATION; MODELS;
D O I
10.1142/S021812662150153X
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Salt-and-pepper noise suppression for vector-valued images usually employs vector median filtering, total variation L1 model, diffusion methods and variants. These approaches, however, often introduce excessive smoothing and can result in extensive visual feature blurring and are suitable only for images with low intensity noise. In this paper, a new method, as an important preprocessing step in cyber-physical systems, is presented to suppress salt-and-pepper noise that can overcomes this limitation. This method first detects the corrupted pixels and then restores them using channel-wise anisotropic diffusion. The means is twofold. On the one hand, the marginal approach is used to perform noise suppression separately in each channel because the contaminative pixel components are of independent distribution. On the other hand, a decision-based anisotropic diffusion method is applied to each channel to restores them. The anisotropic diffusion is an energy-dissipating process with time, and dependent on geometric analysis of shape of the energy surface. Simulation results indicate that the proposed method for impulsive noise removal achieves the state-of-the-arts results.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Adaptive Noise Detection and Removal Algorithm Using Local Statistics for Salt-and-Pepper Noise
    Tuan-anh NGUYEN
    Won-seon SONG
    Min-cheol HONG
    [J]. Journal of Measurement Science and Instrumentation, 2010, 1 (04) : 323 - 325
  • [32] CROSS-SCALE COLOR IMAGE RESTORATION UNDER HIGH DENSITY SALT-AND-PEPPER NOISE
    He, Zecheng
    Tang, Ketan
    Fang, Lu
    [J]. 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 3780 - 3784
  • [33] Enhanced Modified Decision-Based Unsymmetric Trimmed Adaptive Neighborhood Winsorized Mean Filter for Removing 1-99% Levels of Salt-and-Pepper Noise
    Goel, Navdeep
    Aggarwal, Pulkit
    [J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2019, 43 (03) : 459 - 468
  • [34] A decision based unsymmetrical trimmed modified winsorized variants for the removal of high density salt and pepper noise in images and videos
    Kishorebabu, Vasanth
    Varatharajan, R.
    [J]. COMPUTER COMMUNICATIONS, 2020, 154 : 433 - 441
  • [35] Low Rank and Total Variation Based Two-Phase Method for Image Deblurring with Salt-and-Pepper Impulse Noise
    Tang, Yuchao
    Deng, Shirong
    Zeng, Tieyong
    [J]. NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2023, 16 (04): : 1013 - 1034
  • [36] A Decision-Based Modified Total Variation Diffusion Method for Impulse Noise Removal
    Deng, Hongyao
    Zhu, Qingxin
    Song, Xiuli
    Tao, Jinsong
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2017, 2017
  • [37] Adaptive Four-dot Median Filter for Removing 1-99% Densities of Salt-and-Pepper Noise in Images
    Zhang, Xin-Ming
    Kang, Qiang
    Cheng, Jin-Feng
    Wang, Xia
    [J]. JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2018, 11 (03) : 47 - 61
  • [38] Adaptive switching weighted median filter framework for suppressing salt-and-pepper noise
    Faragallah, Osama S.
    Ibrahem, Hani M.
    [J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2016, 70 (08) : 1034 - 1040
  • [39] A Novel Decision-Based Algorithm for Removal of Highly Corrupted Images
    Wang, Yiyan
    Wang, Zhuoer
    Zhou, Di
    [J]. PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT INFORMATION PROCESSING, 2013, 256 : 367 - 375
  • [40] Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets
    Sree, P. Syamala Jaya
    Kumar, Pradeep
    Siddavatam, Rajesh
    Verma, Ravikant
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2013, 7 (01) : 111 - 118