Noise-powered disentangled representation for unsupervised speckle reduction of optical coherence tomography images
Due to its noninvasive character, optical coherence tomography (OCT) has become a
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
popular diagnostic method in clinical settings. However, the low-coherence interferometric …
Convolutional neural network and guided filtering for SAR image denoising
Coherent noise often interferes with synthetic aperture radar (SAR), which has a huge
impact on subsequent processing and analysis. This paper puts forward a novel algorithm …
impact on subsequent processing and analysis. This paper puts forward a novel algorithm …
Speckle suppression based on weighted nuclear norm minimization and grey theory
S Liu, Q Hu, P Li, J Zhao, M Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Coherent imaging systems are greatly affected by speckle noise, which makes visual
analysis and features extraction a difficult task. In this paper, we propose a speckle …
analysis and features extraction a difficult task. In this paper, we propose a speckle …
A cascaded convolutional neural network architecture for despeckling OCT images
Abstract Optical Coherence Tomography (OCT) is an imaging technique widely used for
medical imaging. Noise in an OCT image generally degrades its quality, thereby obscuring …
medical imaging. Noise in an OCT image generally degrades its quality, thereby obscuring …
Low-cost active thermography using cellphone infrared cameras: from early detection of dental caries to quantification of THC in oral fluid
Active thermography (AT) is a widely studied non-destructive testing method for the
characterization and evaluation of biological and industrial materials. Despite its broad …
characterization and evaluation of biological and industrial materials. Despite its broad …
Multivariate statistical modeling of retinal optical coherence tomography
M Samieinasab, Z Amini… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this paper a new statistical multivariate model for retinal Optical Coherence Tomography
(OCT) B-scans is proposed. Due to the layered structure of OCT images, there is a horizontal …
(OCT) B-scans is proposed. Due to the layered structure of OCT images, there is a horizontal …
Speckle noise reduction of multi-frame optical coherence tomography data using multi-linear principal component analysis
H Lv, S Fu, C Zhang, L Zhai - Optics Express, 2018 - opg.optica.org
Optical coherence tomography (OCT) is an important interferometric diagnostic technique
extensively applied in medical sciences. However, OCT images inevitably suffer from …
extensively applied in medical sciences. However, OCT images inevitably suffer from …
Speckle attenuation by adaptive singular value shrinking with generalized likelihood matching in optical coherence tomography
As a high-resolution imaging mode of biological tissues and materials, optical coherence
tomography (OCT) is widely used in medical diagnosis and analysis. However, OCT images …
tomography (OCT) is widely used in medical diagnosis and analysis. However, OCT images …
Tensor Ring Decomposition Guided Dictionary Learning for OCT Image Denoising
PG Daneshmand, H Rabbani - IEEE Transactions on Medical …, 2024 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a non-invasive and effective tool for the imaging of
retinal tissue. However, the heavy speckle noise, resulting from multiple scattering of the …
retinal tissue. However, the heavy speckle noise, resulting from multiple scattering of the …
Temporal and volumetric denoising via quantile sparse image prior
F Schirrmacher, T Köhler, J Endres… - Medical image …, 2018 - Elsevier
This paper introduces an universal and structure-preserving regularization term, called
quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various …
quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various …