A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM

被引：0
|
作者：
Yang, Huayong [1 ]
Lin, Xiaoli [1 ,2 ]
机构：
[1] Wuhan Univ Sci & Technol, City Coll, Dept Informat Engn, Wuhan 430083, Hubei, Peoples R China
[2] Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430065, Hubei, Peoples R China
来源：
INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III | 2018年 / 10956卷
基金：
中国国家自然科学基金;
关键词：
Non-subsampled contourlet transform (NSCT); Non-local mean (NLM); Denoising;
D O I：
10.1007/978-3-319-95957-3_71
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel image denoising algorithm based on non-subsampled contourlet transform (NSCT) and modified non-local mean (NLM) is proposed. First, we utilize NSCT to decompose the images to obtain the high frequency coefficients. Second, the high frequency coefficients are used for modified NLM denoising. Finally, the NLM weight values are calculated by modified bisquare function instead of Gaussian kernel function of the traditional NLM, and each noise coefficient is corrected to get the denoised image. According to results of the simulation experiment, the denoising results of the proposed algorithm obtain higher peak signal-to-noise ratio (PSNR) and better retains structural information of image in subjective vision.
引用
收藏
页码：689 / 699
页数：11
相关论文
共 50 条
  • [1] Image Denoising Algorithm Based on Non-Subsampled Contourlet Transform and Bilateral Filtering
    Li, C. J.
    Yang, H. X.
    Cai, Y. Y.
    Song, B.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015), 2015, 18 : 666 - 669
  • [2] Hybrid image denoising method based on non-subsampled contourlet transform and bandelet transform
    Wang, Xiaokai
    Chen, Wenchao
    Gao, Jinghuai
    Wang, Chao
    [J]. IET IMAGE PROCESSING, 2018, 12 (05) : 778 - 784
  • [3] An Adaptive Image Fusion Algorithm Based on Non-subsampled Contourlet Transform
    Zhang, Fang-fang
    Zhang, Hai-chao
    Sun, Shi-bao
    [J]. PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS AND SIGNAL PROCESSING, 2010, : 138 - 143
  • [4] An Improved Method on Non-subsampled Contourlet Transform Ultrasonic Image Denoising
    Huang, Shuo
    Sun, Yu
    Wan, Suiren
    Huang, Jiansheng
    [J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSSE 2018), 2018, : 140 - 147
  • [5] Image denoising by random walk with restart Kernel and non-subsampled contourlet transform
    Liu, G.
    Zeng, X.
    Liu, Y.
    [J]. IET SIGNAL PROCESSING, 2012, 6 (02) : 148 - 158
  • [6] A non-subsampled non-aliasing contourlet transform and the denoising algorithm with adaptive thresholding
    Mi, De-Ling
    Feng, Peng
    Wei, Biao
    Li, Lei-Lei
    Pan, Ying-Jun
    [J]. Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2009, 20 (12): : 1667 - 1670
  • [7] Image denoising based on the symmetric normal inverse Gaussian model and non-subsampled contourlet transform
    Zhou, Y.
    Wang, J.
    [J]. IET IMAGE PROCESSING, 2012, 6 (08) : 1136 - 1147
  • [8] Image Fusion in Compressed Sensing Based on Non-subsampled Contourlet Transform
    Zhou, Xin
    Wang, Wei
    Liu, Rui-an
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2015, 322 : 645 - 652
  • [9] A Line Objects Recognition Algorithm based on Non-subsampled Contourlet Transform
    Jiang, Qinghua
    Yang, Yi
    Zhang, Meng
    Zhang, Sixian
    [J]. PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 3050 - 3055
  • [10] MRI denoising using advanced NLM filtering with non-subsampled shearlet transform
    Sharma, Abhishek
    Chaurasia, Vijayshri
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2021, 15 (06) : 1331 - 1339
12345