Reducing Impurities in Medical Images Based on Curvelet Domain

  • Vo Thi Hong TuyetEmail author
  • Nguyen Thanh Binh
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 144)


Medical image quality greatly affects the diagnostic process. Most of the tasks of increasing the quality of medical images are deblurring or denoising process. These tasks are the difficult problems in medical image processing because they must keep edge features. In the cases, the medical images that have blur combined with noise are a more difficult problem. In this paper, we proposed a method for reducing impurities in medical images based on curvelet domain. The proposed method uses curvelet coefficient combined with augmented lagrangian function to denoising combined with deblurring in medical images. For evaluating the results of the proposed method, we have compared the results with the other recent methods available in literature.


Deblurring Denoising Curvelet transform Augmented lagrangian method Medical image 


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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  1. 1.Faculty of Computer Science and EngineeringHo Chi Minh City University of TechnologyHo Chi Minh CityVietnam

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