Wavelet tree structure based speckle noise removal for optical coherence tomography

Author(s):  
Xin Yuan ◽  
Xuan Liu ◽  
Yang Liu
2015 ◽  
Vol 20 (3) ◽  
pp. 25-34 ◽  
Author(s):  
Jarosław Gocławski ◽  
Joanna Sekulska-Nalewajko

Abstract Median filtering has been widely used in image processing for noise removal because it can significantly reduce the power of noise while limiting edge blurring. This filtering is still a challenging task in the case of three-dimensional images containing up to a billion of voxels, especially for large size filtering windows. The authors encountered the problem when applying median filter to speckle noise reduction in optical coherence tomography images acquired by the Spark OCT systems. In the paper a new approach to the GPU (Graphics Processing Unit) based median smoothing has been proposed, which uses two-step evaluation of local intensity histograms stored in the shared memory of a graphic device. The solution is able to output about 50 million voxels per second while processing the neighbourhood of 125 voxels by Quadro K6000 graphic card configured on the Kepler architecture.


2020 ◽  
Vol 11 (2) ◽  
pp. 586
Author(s):  
Mahad Esmaeili ◽  
Alireza Mehri Dehnavi ◽  
Fedra Hajizadeh ◽  
Hossein Rabbani

2012 ◽  
Vol 20 (2) ◽  
pp. 1337 ◽  
Author(s):  
Maciej Szkulmowski ◽  
Iwona Gorczynska ◽  
Daniel Szlag ◽  
Marcin Sylwestrzak ◽  
Andrzej Kowalczyk ◽  
...  

2009 ◽  
Vol 49 (1) ◽  
pp. 99 ◽  
Author(s):  
Michael Hughes ◽  
Marika Spring ◽  
Adrian Podoleanu

2013 ◽  
Vol 5 (1) ◽  
pp. 106 ◽  
Author(s):  
Mitsuro Sugita ◽  
Stefan Zotter ◽  
Michael Pircher ◽  
Tomoyuki Makihira ◽  
Kenichi Saito ◽  
...  

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