Medical image denoising using adaptive fusion of curvelet transform and total variation

2013 ◽  
Vol 39 (5) ◽  
pp. 1451-1460 ◽  
Author(s):  
H.S. Bhadauria ◽  
M.L. Dewal
Keyword(s):  
Image Denoising ◽  
Total Variation ◽  
Medical Image ◽  
Curvelet Transform ◽  
Adaptive Fusion

Medical Image Denoising With Various Noise Estimators Using Curvelet Transform

2014 ◽  
Vol 1 (2) ◽  
pp. 30-40
Author(s):  
Abha Choubey ◽  
◽  
Dr.G.R. Sinha ◽  
S. K Naik ◽  
◽  
...  
Keyword(s):  
Image Denoising ◽  
Medical Image ◽  
Curvelet Transform

scholarly journals Total Variation Wavelet-Based Medical Image Denoising

2006 ◽  
Vol 2006 ◽  
pp. 1-6 ◽  
Author(s):  
Yang Wang ◽  
Haomin Zhou
Keyword(s):  
Image Denoising ◽  
Total Variation ◽  
Medical Image ◽  
Medical Images ◽  
Stopping Time ◽  
Noise Removal ◽  
Total Variation Minimization ◽  
Time Criterion ◽  
Minimization Scheme

We propose a denoising algorithm for medical images based on a combination of the total variation minimization scheme and the wavelet scheme. We show that our scheme offers effective noise removal in real noisy medical images while maintaining sharpness of objects. More importantly, this scheme allows us to implement an effective automatic stopping time criterion.

Image Denoising Method Based on Curvelet Transform and Total Variation

2009 ◽  
Vol 29 (9) ◽  
pp. 2390-2394
Author(s):  
倪雪 Ni Xue ◽  
李庆武 Li Qingwu ◽  
孟凡 Meng Fan ◽  
石丹 Shi Dan ◽  
范新南 Fan Xinnan
Keyword(s):  
Image Denoising ◽  
Total Variation ◽  
Curvelet Transform ◽  
Denoising Method

Image denoising based on fast discrete curvelet transform

2009 ◽  
Vol 28 (12) ◽  
pp. 3138-3140
Author(s):  
Gao-qiu FANG ◽  
Zheng-yong WANG ◽  
Xiao-hong WU
Keyword(s):  
Image Denoising ◽  
Curvelet Transform ◽  
Fast Discrete Curvelet Transform

Block wavelet threshold image denoising on total variation

2013 ◽  
Vol 32 (5) ◽  
pp. 1289-1292
Author(s):  
Yuan-yuan GAO ◽  
Yong-feng DIAO ◽  
Yun BIAN
Keyword(s):  
Image Denoising ◽  
Total Variation
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