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  • 标题:A Comparative Study Algorithm for Noisy Image Restoration in the Field of Medical Imaging
  • 本地全文:下载
  • 作者:P.Sumitra
  • 期刊名称:International Journal of Advanced Information Technology
  • 印刷版ISSN:2231-1920
  • 电子版ISSN:2231-1548
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • 页码:35
  • DOI:10.5121/ijait.2016.6103
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by removing blur and noise from image and get back the original form. Medical images play a vital role in dealing with the detection of various diseases in patients and they face the problem of salt and pepper noise and Gausian noise. Hence restoration is performed based on different image restoration techniques. In this paper, popular restoration techniques is applied and analyzed in the recovery of medical images,.
  • 关键词:Image Restoration; Inverse Filter; Weiner Filter; MSE; PSNR; Medical Images
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