Speckle Noise Reduction in Optical Coherence Tomography Using Two-dimensional Curvelet-based Dictionary Learning

Speckle Noise Reduction in Optical Coherence Tomography Using Two-dimensional Curvelet-based Dictionary Learning

The process of interpretation of high-speed optical coherence tomography (OCT) images is restricted due to the large speckle noise. To address this problem, this paper proposes a new method using two-dimensional (2D) curvelet-based K-SVD algorithm for speckle noise reduction and contrast enhancement...

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Bibliographic Details
Main Authors: Mahdad Esmaeili, Alireza Mehri Dehnavi, Hossein Rabbani, Fedra Hajizadeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Curvelet transform
dictionary learning
optical coherence tomography
speckle noise
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=2;spage=86;epage=91;aulast=

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2017;volume=7;issue=2;spage=86;epage=91;aulast=

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