A Method for Mammographic Image Denoising Based on Hierarchical Correlations of the Coefficients of Wavelet Transforms

Author(s):  
E. Matsuyama ◽  
D. Y. Tsai ◽  
Y. Lee ◽  
H. Watanabe ◽  
K. Kojima
2015 ◽  
Author(s):  
Min Dong ◽  
Ya-Nan Guo ◽  
Yi-De Ma ◽  
Yu-run Ma ◽  
Xiang-yu Lu ◽  
...  

2012 ◽  
Vol 16 (4) ◽  
pp. 567-580 ◽  
Author(s):  
Ricardo Dutra da Silva ◽  
Rodrigo Minetto ◽  
William Robson Schwartz ◽  
Helio Pedrini

2014 ◽  
Vol 23 (12) ◽  
pp. 5165-5174 ◽  
Author(s):  
Norbert Remenyi ◽  
Orietta Nicolis ◽  
Guy Nason ◽  
Brani Vidakovic

2012 ◽  
Vol 57 (1) ◽  
Author(s):  
NOR'AIDA KHAIRUDDIN ◽  
NORRIZA MOHD ISA ◽  
WAN MUHAMAD SARIDAN WAN HASSAN

We compared effects of denoising methods on digital mammographic images. The denoising methods studied were an adaptive Wiener filter and low–pass Gaussian filter. The denoising methods were applied as an image preprocessing techniques before enhancement. The performance of image denoising methods are based on Mean Squared Error (MSE) and Peak Signal To Ratio (PSNR) values.


2012 ◽  
Vol 26 (2) ◽  
pp. 183-197 ◽  
Author(s):  
Larissa C. S. Romualdo ◽  
Marcelo A. C. Vieira ◽  
Homero Schiabel ◽  
Nelson D. A. Mascarenhas ◽  
Lucas R. Borges

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