Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering

Abstract Optical coherence tomography (OCT) has continually evolved and expanded as one of the most valuable routine tests in ophthalmology. However, noise (speckle) in the acquired images causes quality degradation of OCT images and makes it difficult to analyze the acquired images. In this paper,...

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Veröffentlicht in:	Computers in biology and medicine 2016-04, Vol.71, p.97-107
Hauptverfasser:	Sudeep, P.V, Issac Niwas, S, Palanisamy, P, Rajan, Jeny, Xiaojun, Yu, Wang, Xianghong, Luo, Yuemei, Liu, Linbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Bilateral filtering Denoising Diabetic retinopathy Eye diseases Humans Image Processing, Computer-Assisted Internal Medicine Maximum likelihood estimation Models, Theoretical Optical coherence tomography Other Phantoms, Imaging Quality Signal-To-Noise Ratio Speckle noise Tomography, Optical Coherence - instrumentation Tomography, Optical Coherence - methods Ultrasonic imaging Wavelet transforms
Online-Zugang:	Volltext
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