Results 21 to 30 of about 2,969,604 (339)

Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising

open access: yesRemote Sensing, 2022
Remote sensing images are widely applied in instance segmentation and objetive recognition; however, they often suffer from noise, influencing the performance of subsequent applications.
Huiqing Qi, Shengli Tan, Zhichao Li
doaj   +1 more source

graph, Hamiltonian path, Hamiltonian cycle, Hamilton-connected graph, detour index, NP-complete problems, Platonic solids, convex polytopes

open access: yesAIMS Mathematics, 2021
Noise is regarded as an unavoidable component of digital image acquisition. Hence, noise removal has been considered as one of the fundamental tasks in the field of image processing. Accordingly, excellent results have been achieved by using second-order
Abdelgader Siddig   +3 more
doaj   +1 more source

Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia

open access: yesFrontiers in Earth Science, 2020
Because of its robustness and practicality, the Horizontal-to-Vertical Spectral Ratio (HVSR) method has been widely used to obtain subsurface structure, mainly the sediment thickness that resides over bedrock.
Mochammad Randy Caesario Harsuko   +13 more
doaj   +1 more source

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise

open access: yesApplied Sciences, 2023
Images taken with different sensors and transmitted through different channels can be noisy. In such conditions, the image most often suffers from random-valued impulse noise.
Anzor Orazaev   +3 more
doaj   +1 more source

PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-Low-Dose CT Restoration

open access: yesFrontiers in Radiology, 2022
A body of studies has proposed to obtain high-quality images from low-dose and noisy Computed Tomography (CT) scans for radiation reduction. However, these studies are designed for population-level data without considering the variation in CT devices and
Peng Liu   +11 more
doaj   +1 more source

Add noise to remove noise: Local differential privacy for feature selection

open access: yesComputers & Security, 2022
Feature selection has become significantly important for data analysis. It selects the most informative features describing the data to filter out the noise, complexity, and over-fitting caused by less relevant features. Accordingly, feature selection improves the predictors’ accuracy, enables them to be trained faster and more cost-effectively, and ...
Mina Alishahi   +2 more
openaire   +1 more source

Accurate Detection for Zirconium Sheet Surface Scratches Based on Visible Light Images

open access: yesSensors, 2023
Zirconium sheet has been widely used in various fields, e.g., chemistry and aerospace. The surface scratches on the zirconium sheets caused by complex processing environment have a negative impact on the performance, e.g., working life and fatigue ...
Bin Xu   +6 more
doaj   +1 more source

Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing

open access: yesIEEE Transactions on Medical Imaging, 2022
Volume Projection Imaging from ultrasound data is a promising technique to visualize spine features and diagnose Adolescent Idiopathic Scoliosis. In this paper, we present a novel multi-task framework to reduce the scan noise in volume projection images ...
Zixun Huang   +9 more
semanticscholar   +1 more source

Signal Photon Extraction Method for ICESat-2 Data Using Slope and Elevation Information Provided by Stereo Images

open access: yesSensors, 2023
Laser altimetry data from the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) contain a lot of noise, which necessitates the requirement for a signal photon extraction method.
Linyu Gu   +5 more
doaj   +1 more source

Design, Development and Testing of a Low-Cost sEMG System and Its Use in Recording Muscle Activity in Human Gait

open access: yesSensors, 2014
Surface electromyography (sEMG) is an important measurement technique used in biomechanical, rehabilitation and sport environments. In this article the design, development and testing of a low-cost wearable sEMG system are described.
Tamara Grujic Supuk   +2 more
doaj   +1 more source

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