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Noise-imitation learning: unpaired speckle noise reduction for optical coherence tomography

Physics in Medicine & Biology
Abstract Objective. Optical coherence tomography (OCT) is widely used in clinical practice for its non-invasive, high-resolution imaging capabilities. However, speckle noise inherent to its low coherence principle can degrade image quality and compromise diagnostic accuracy.
Bin Yao   +6 more
openaire   +2 more sources

Noise considerations in stellar speckle interferometry*†

Journal of the Optical Society of America, 1977
A general model for the signal-to-noise ratio for stellar speckle interferometry is developed, including the effects of finite sample averaging, quantum fluctuations, and additive noise. We find that in most cases the controlling parameter is the ratio of the total spatial spectrum to the signal spatial spectrum.
openaire   +1 more source

Mitigation of Speckle Noise in Optical Coherence Tomograms

2018
Optical Coherence Tomography (OCT) is a promising high-resolution imaging technique that works based on low coherent interferometry. However, like other low coherent imaging modalities, OCT suffers from an artifact called, speckle. Speckle reduces the detectability of diagnostically relevant features in the tissue.
Adabi S.   +5 more
openaire   +1 more source

DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images

Biomedical Signal Processing and Control, 2020
Zailiang Chen   +5 more
semanticscholar   +1 more source

A quantitative assessment of speckle noise reduction in SAR images using TLFFBP neural network

Arabian Journal of Geosciences, 2020
K. Murugesan   +2 more
semanticscholar   +1 more source

When is speckle noise multiplicative?

Applied Optics, 1982
M, Tur, K C, Chin, J W, Goodman
openaire   +2 more sources

Speckle Noise Reduction in Satellite Images

2023 International Conference on Network, Multimedia and Information Technology (NMITCON), 2023
Irene Mary Mathew   +2 more
openaire   +1 more source

Fuzzy logic based computational model for speckle noise removal in ultrasound images

Multimedia tools and applications, 2019
Muhammad Nadeem, Ayyaz Hussain, A. Munir
semanticscholar   +1 more source

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