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Curvelet processing of MRI for local image enhancement

  • Published:2012-01-10 Issue:6-7 Volume:28 Page:661-677
  • ISSN:2040-7939
  • Container-title:International Journal for Numerical Methods in Biomedical Engineering
  • language:en
  • Short-container-title:Int. J. Numer. Meth. Biomed. Engng.

Author:

Tsai Kunyu1,Ma Jianwei2,Ye Datian1,Wu Jian1

Affiliation:

1. Research Center for Biomedical Engineering, Graduate School at Shenzhen; Tsinghua University; 518055; China

2. Program in Computational Science and Engineering; Florida State University; Tallahassee; FL 32304; USA

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software

Reference31 articles.

1. A comprehensive review of image enhancement techniques;Maini;Journal of Computing,2010

2. Ideal spatial adaptation by wavelet shrinkage;Donoho;Biometrika,1994

3. Adapting to unknown smoothness via wavelet shrinkage;Donoho;Journal of the American Statistical Association,1995

4. Adaptive bayesian wavelet shrinkage;Chipman;Journal of the American Statistical Association,1997

5. Wavelet shrinkage and generalized cross validation for image denoising;Weyrich;IEEE Transactions on Image Processing,1998

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2. Choosing the filter for catenary image enhancement method based on the non-subsampled contourlet transform;Review of Scientific Instruments;2017-05

3. A segmentation-based adaptive image enhancement method inspired by the self-adjust features of HVS;International Journal of Machine Learning and Cybernetics;2016-07-23

4. Persistent topology for cryo-EM data analysis;International Journal for Numerical Methods in Biomedical Engineering;2015-05-06

5. Segmentation of biomedical images using active contour model with robust image feature and shape prior;International Journal for Numerical Methods in Biomedical Engineering;2013-10-28
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