De-noising of Medical images using Iterated Hybrid Filters

被引：0
|
作者：
Marudhachalam, R. [1 ]
Selvanayaki, S. [1 ]
Ilango, Gnanambal [2 ]
机构：
[1] Kumaraguru Coll Technol, Dept Math, Coimbatore, Tamil Nadu, India
[2] Govt Arts Coll Autonomous, Post Grad & Res Dept Math, Coimbatore, Tamil Nadu, India
来源：
ADVANCES IN BASIC SCIENCES (ICABS 2019) | 2019年 / 2142卷
关键词：
D O I：
10.1063/1.5122609
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The medical images like ultrasound, CT scan and MRI are captured by different medical devices which contain Gaussian noise. These Gaussian noises reduce the image quality and information. This paper proposes a de-noising algorithm, iterated hybrid filtering techniques, for the removal of speckle noise from medical images. The performance of the proposed algorithm is compared with quantitative measures such as RMSE and PSNR values.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] A Hybrid Algorithm Using Transform for De-Noising Celestial Images
    Srivastava, Smriti
    Agarwal, Sugandha
    Singh, O. P.
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES FOR SMART NATION (IC3TSN), 2017, : 311 - 315
  • [2] Region Growing Segmentation using De-noising Algorithm for Medical Ultrasound Images
    Saini, Harmeet
    Sahni, Varsha
    [J]. 2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT), 2017,
  • [3] Comparisons of Several New De-noising Methods for Medical Images
    Zhang, Lu
    Chen, Jiaming
    Zhu, Yuemin
    Luo, Jianhua
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 2092 - +
  • [4] QR based De-noising Scheme for Medical Ultrasound Images
    Al-Asad, Jawad F.
    Khan, Adil H.
    [J]. 2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018, : 954 - 957
  • [5] Performance evaluation of filters for de-noising the intravascular ultrasound (IVUS) images
    Chinnaswamy M.
    Subburam S.
    [J]. International Journal of Information Technology, 2021, 13 (1) : 229 - 238
  • [6] De-noising of images using logical (binary) transforms
    Agaian, SS
    Baran, TA
    Panetta, KA
    [J]. VISUAL INFORMATION PROCESSING XIII, 2004, 5438 : 130 - 140
  • [7] Application of Wavelet De-noising Filters in Mammogram Images Classification Using Fuzzy Soft Set
    Lashari, Saima Anwar
    Ibrahim, Rosziati
    Senan, Norhalina
    Yanto, Iwan Tri Riyadi
    Herawan, Tutut
    [J]. RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING, 2017, 549 : 529 - 537
  • [8] Noise Removal in Breast Cancer Using Hybrid De-noising Filter for Mammogram Images
    Devakumari, D.
    Punithavathi, V
    [J]. COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 : 109 - 119
  • [9] Medical Image De-noising Using Deep Networks
    Asante-Mensah, Maame G.
    Cichocki, Andrzej
    [J]. 2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 315 - 319
  • [10] Model-Based Coupled De-Noising and Segmentation of Medical Images
    Tuysuzoglu, Ahmet
    Mendonca, Paulo
    Padfield, Dirk
    [J]. MEDICAL IMAGING 2012: ULTRASONIC IMAGING, TOMOGRAPHY, AND THERAPY, 2012, 8320
12345