Image Denoising Method Based on Curvelet Transform in Telemedicine

Author(s):  
Yang Yu ◽  
Dan Li ◽  
Likai Wang ◽  
Weiwei Liu ◽  
Kailiang Zhang ◽  
...  
2009 ◽  
Vol 29 (10) ◽  
pp. 2665-2667
Author(s):  
Dan LI ◽  
Jian-sheng QIAN ◽  
Chao WANG

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

2014 ◽  
Vol 701-702 ◽  
pp. 381-385
Author(s):  
Wei Bo Yu ◽  
Dong Tong ◽  
Fang Xue Liu ◽  
Ke Ping Liu

Since the infrared image has the problem of poor contrast, edge blur, low noise ratio, noisy and other shortcomings, this paper presents an improved threshold denoising algorithm based on curvelet transform, using a combination of hard and soft threshold methods to form a new threshold based functions. Compare to the conventional hard threshold, soft threshold, de-noising based on wavelet transform method, the proposed denoising method can obtain better PSNR and visual characteristics, retain more details


2018 ◽  
Vol 62 (1) ◽  
pp. 105061-1050611 ◽  
Author(s):  
Zhidan Yan ◽  
Wenyi Xu ◽  
Chunmei Yang

2018 ◽  
Vol 6 (12) ◽  
pp. 448-452
Author(s):  
Md Shaiful Islam Babu ◽  
Kh Shaikh Ahmed ◽  
Md Samrat Ali Abu Kawser ◽  
Ajkia Zaman Juthi

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