Probability-based non-local means filter for speckle noise suppression in optical coherence tomography images

2016 ◽  
Vol 41 (5) ◽  
pp. 994 ◽  
Author(s):  
Hancheng Yu ◽  
Jianlin Gao ◽  
Aiting Li
Keyword(s):  
Optical Coherence Tomography ◽  
Noise Suppression ◽  
Speckle Noise ◽  
Optical Coherence ◽  
Local Means ◽  
Non Local

scholarly journals Volumetric non-local-means based speckle reduction for optical coherence tomography

2018 ◽  
Vol 9 (7) ◽  
pp. 3354 ◽  
Author(s):  
Carlos Cuartas-Vélez ◽  
René Restrepo ◽  
Brett E. Bouma ◽  
Néstor Uribe-Patarroyo
Keyword(s):  
Optical Coherence Tomography ◽  
Speckle Reduction ◽  
Optical Coherence ◽  
Local Means ◽  
Non Local

scholarly journals Speckle noise suppression method using multi-azimuth SAR images.

2021 ◽  
Vol 2083 (3) ◽  
pp. 032053
Author(s):  
Yingru Shi ◽  
Yang Liu ◽  
Peili Xi ◽  
Wei Yang ◽  
Hongcheng Zeng
Keyword(s):  
Noise Suppression ◽  
Speckle Noise ◽  
Image Sequences ◽  
Sar Images ◽  
Radar Images ◽  
Local Means ◽  
Structural Details ◽  
Novel Method ◽  
Non Local ◽  
Suppression Method

Abstract Synthetic aperture radar images play an important role in military and civilian fields, but the presence of speckle noise has an impact on subsequent tasks such as target detection and target interpretation. With the development of multi-azimuth observation mode, the obtained multi-azimuth image sequences have high similarities. Therefore, combined with multi-azimuth image sequences, a novel method of SAR image speckle noise suppression based on clustering is proposed in this paper. In this method, multi-azimuth joint filtering framework based on two-level filtering is proposed, in which pre-filtering for single image and joint filtering based on Non-local Means algorithm for multi-azimuth image are used to suppress the noise. And k-means clustering is used to optimize the search area in the multi-azimuth joint filtering, so as to effectively suppress speckle noise while retaining structural details.

scholarly journals Efficient reduction of speckle noise in Optical Coherence Tomography

2012 ◽  
Vol 20 (2) ◽  
pp. 1337 ◽  
Author(s):  
Maciej Szkulmowski ◽  
Iwona Gorczynska ◽  
Daniel Szlag ◽  
Marcin Sylwestrzak ◽  
Andrzej Kowalczyk ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Speckle Noise ◽  
Optical Coherence ◽  
Efficient Reduction

Despeckling Algorithms for Optical Coherence Tomography Images

2019 ◽  
pp. 286-310
Author(s):  
Anoop B. N. ◽  
G. N. Girish ◽  
Sudeep P. V. ◽  
Jeny Rajan
Keyword(s):  
Optical Coherence Tomography ◽  
Noise Suppression ◽  
Imaging Technique ◽  
Visual Quality ◽  
Optical Coherence ◽  
Non Invasive ◽  
Computerized Analysis ◽  
Feature Preservation ◽  
Software Packages

Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in ophthalmology. The presence of speckle affects the quality of OCT images. Despeckling is necessary to improve its visual quality, and it is an integral part of software packages used for the computerized analysis of OCT. Even though a few methods for despeckling OCT are available in the literature, a cross-comparison of their performance is not known to be available. In this chapter, the techniques available in the literature for despeckling the OCT images have been identified. The results of the despeckling algorithms are compared both qualitatively and quantitatively by concerning the noise suppression capability and feature preservation. Among the available techniques, iterative adaptive unbiased (IAUB) filter is found to be superior as far as its performance regarding despeckling on retinal OCT images.

Speckle noise reduction in optical coherence tomography of paint layers

2009 ◽  
Vol 49 (1) ◽  
pp. 99 ◽  
Author(s):  
Michael Hughes ◽  
Marika Spring ◽  
Adrian Podoleanu
Keyword(s):  
Optical Coherence Tomography ◽  
Noise Reduction ◽  
Speckle Noise ◽  
Optical Coherence ◽  
Speckle Noise Reduction
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