Enhancing the Quality of Medical Image Database Based on Kernels in Bandelet Domain

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• 关键词：Deblurring ; Denoising ; Bandelet domain ; Bayesian thresholding ; Kernels ; Medical image
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9446
• 期：1
• 页码：226-241
• 全文大小：2,477 KB
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• 作者单位：Nguyen Thanh Binh (19)
  
  19. Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
  
• 丛书名：Future Data and Security Engineering
• ISBN：978-3-319-26135-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Diagnostic imaging has contributed significantly to improving the accuracy, timeliness and efficiency of healthcare. Most of medical images have blur combined with noise because of many reasons. This problem will give difficulties to health professionals because each of small details is very useful for the treatment process of doctors. In this paper, we proposed a new method to improve the quality of medical images. The proposed method includes two steps: denoising by Bayesian thresholding in bandelet domain and using the Kernels set for deblurring. We undervested the proposed method by calculating the PSNR and MSE values. This method gives the result better than the other recent methods available in literature.