Results 31 to 40 of about 2,969,604 (339)
Diagnostics, 2023 Retinal blood vessel segmentation is a valuable tool for clinicians to diagnose conditions such as atherosclerosis, glaucoma, and age-related macular degeneration. This paper presents a new framework for segmenting blood vessels in retinal images.
Ahmed Alsayat +5 more
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An Advanced Noise Reduction and Edge Enhancement Algorithm
Sensors, 2021 Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios.
Shih-Chia Huang +8 more
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Sensors, 2021 Today’s wearable medical devices are becoming popular because of their price and ease of use. Most wearable medical devices allow users to continuously collect and check their health data, such as electrocardiograms (ECG).
Hongzu Li, Pierre Boulanger
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Review of noise removal techniques in ECG signals
IET Signal Processing, 2020 An electrocardiogram (ECG) records the electrical signal from the heart to check for different heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre-processing step which attenuates the noises and accentuates the typical ...
S. Chatterjee +4 more
semanticscholar +1 more source
An efficient method to remove mixed Gaussian and random-valued impulse noise
PLoS ONE, 2022 Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge in the field of image denoising. Existing denoising algorithms have defects in denoising performance and computational complexity.
Mengdi Xing, Guorong Gao
doaj
Remote Sensing, 2023 The locally adjusted cubic-spline capping (LACC) algorithm is well recognized for its effectiveness in the global time series reconstruction of vegetation biophysical and biochemical parameters.
Mingzhu Xu +3 more
doaj +1 more source
Overall Filtering Algorithm for Multiscale Noise Removal From Point Cloud Data
IEEE Access, 2021 The multiscale noise in the 3D point cloud data of rock surfaces which collected by 3D scanners has a significant influence on the exploration of rock surface morphology.
Yujuan Ren +5 more
semanticscholar +1 more source
Impulsive noise removal image ehancement technique [PDF]
International Journal on Intelligent Electronic Systems, 2007 Several areas like remote sensing, biomedical analysis, and computer vision require good image contrast and details for better interpretations and diagnoses’s. In the literature various image enhancement algorithms have been proposed to improve the perceptual aspects of the image for poorly contrasted images.
Subrajeet Mohapatra +2 more
openaire +1 more source
Thermal Noise Removal From Polarimetric Sentinel-1 Data
IEEE Geoscience and Remote Sensing Letters, 2021 This study proposes, for the first time, an approach to remove thermal noise from the wave coherency matrix, $\mathrm {C_{2}}$ , estimated from single-look complex dual-polarization Interferometric Wide Swath mode Sentinel-1 synthetic aperture radar ...
L. Mascolo, J. Lopez-Sanchez, S. Cloude
semanticscholar +1 more source
Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm [PDF]
SIAM Journal of Imaging Sciences, 2020 The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices formed by their nonlocal similar patches are low-rank.
Xiaoxia Liu +4 more
semanticscholar +1 more source