An Improved Method on Non-subsampled Contourlet Transform Ultrasonic Image Denoising

被引：0
|
作者：
Huang, Shuo [1 ]
Sun, Yu [1 ]
Wan, Suiren [1 ]
Huang, Jiansheng [2 ]
机构：
[1] Southeast Univ, Sch Biol Sci & Med Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Jining Ind Technican Coll, Dept Comp Numer Control Technol, Yanzhou 272100, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSSE 2018) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The non-subsampled contourlet transform (NSCT) is a good approach in capturing the detail of images, so that it has a wide range of applications in image denoising. In order to improve the denoising effect of NSCT method of medical ultrasound images, the local intuitionistic fuzzy entropy (LIFE) theory is employed in this work to suppress the noise in the high-frequency coefficients of NSCT. On combination with the LIFE theory and the directionality of the coefficients' distribution of NSCT, the directional local intuitionistic fuzzy entropy (DLIFE) method has been put forward to calculate the corresponding noise suppression factor to remove the noise in the high-frequency coefficients of NSCT. The experiments on both Barbara image and medical ultrasound image show a better denoising effect than the original NSCT soft threshold method and the wavelet soft threshold method.
引用
收藏
页码：140 / 147
页数：8
相关论文
共 50 条
  • [1] 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
  • [2] 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
  • [3] 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
  • [4] A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM
    Yang, Huayong
    Lin, Xiaoli
    [J]. INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III, 2018, 10956 : 689 - 699
  • [5] 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
  • [6] Medical image fusion via non-subsampled contourlet transform
    Ling N.
    Yingchun Q.
    [J]. 1600, Science and Engineering Research Support Society (11): : 291 - 300
  • [7] Technique for image fusion based on non-subsampled contourlet transform domain improved NMF
    Kong WeiWei
    Lei YingJie
    Lei Yang
    Zhang Jie
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2010, 53 (12) : 2429 - 2440
  • [8] Technique for image fusion based on non-subsampled contourlet transform domain improved ICM
    Kong, Wei-Wei
    Lei, Yang
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2012, 32 (11): : 2557 - 2563
  • [9] Denoising Seismic Data via a Threshold Shrink Method in the Non-Subsampled Contourlet Transform Domain
    Yang, Yu
    Ran, Qi
    Chen, Kang
    Lei, Cheng
    Zhang, Yusheng
    Liang, Han
    Han, Song
    Tang, Cong
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [10] Technique for image fusion based on non-subsampled contourlet transform domain improved NMF
    KONG WeiWei1
    2Department of Computer
    [J]. Science China(Information Sciences), 2010, 53 (12) : 2429 - 2440
12345