X-let's Atom Combinations for Modeling and Denoising of OCT Images by Modified Morphological Component Analysis

An improved analysis of Optical Coherence Tomography (OCT) images of the retina is of essential importance for the correct diagnosis of retinal abnormalities. Unfortunately, OCT images suffer from noise arising from different sources. In particular, speckle noise caused by the scattering of light wa...

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Vydané v:	IEEE transactions on medical imaging Ročník 43; číslo 2; s. 1
Hlavní autori:	Razavi, Raha, Plonka, Gerlind, Rabbani, Hossein
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Abnormalities Adaptation models Adaptive thresholding Algorithms Analytical models Denoising Dictionaries Discrete cosine transforms Feature extraction Image acquisition Image processing Image Processing, Computer-Assisted - methods Image quality Mathematical models Medical imaging Morphological Component Analysis Morphology Noise reduction Optical Coherence Tomography Photodegradation Quality assessment Retina - diagnostic imaging Signal-To-Noise Ratio Tomography, Optical Coherence - methods Transforms X-let transforms
ISSN:	0278-0062, 1558-254X, 1558-254X
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