A Joint Denoising Technique for Mixed Gaussian–Impulse Noise Removal in HSI
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3264522
Abstract: Hyperspectral imaging (HSI) is the procedure of acquiring a scene over a wide range of an electromagnetic spectrum for the purpose of detailed analysis and prediction. The occurrence of noise during the acquisition procedure, however,… read more here.
Keywords: noise; impulse noise; gaussian impulse; noise removal ... See more keywords
Swin Transformer for Seismic Denoising
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3358234
Abstract: Seismic noise suppression is an important preprocessing stage for obtaining high-quality seismic signals, which are crucial for seismic exploration. Deep learning methods have achieved excellent results in the field of seismic signal processing. Currently, many… read more here.
Keywords: swin transformer; seismic denoising; transformer model; denoising ... See more keywords
ME-TransNet: A Modal-Enhanced Transformer Denoising Network for Attenuating Low-Frequency Swell Noise
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3358746
Abstract: Marine seismic data are often plagued by low-frequency swell noise with prominent amplitudes, compromising the usability of the data for downstream applications, such as inversion and imaging. Traditional frequency-based denoising methods, while widely used to… read more here.
Keywords: swell noise; modal; transformer; network ... See more keywords
Distributed Graph Regularized Denoising via Constrained Chebyshev Polynomials
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3421972
Abstract: The problem of denoising signals, defined over graph domains, using a regularization framework, is considered here. Using the $L^{2}$ norm, the optimum denoising operator involves a matrix inverse. Approximation of the operator via matrix polynomial… read more here.
Keywords: distributed graph; graph regularized; chebyshev polynomials; denoising via ... See more keywords
Improved noise reduction in photon-counting detector CT using prior knowledge-aware iterative denoising neural network
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.11.s1.s12804
Abstract: Abstract. Purpose We aim to reduce image noise in high-resolution (HR) virtual monoenergetic images (VMIs) from photon-counting detector (PCD) CT scans by developing a prior knowledge-aware iterative denoising neural network (PKAID-Net) that efficiently exploits the… read more here.
Keywords: noise reduction; noise; denoising; neural network ... See more keywords
Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoising.
Sign Up to like & getrecommendations! Published in 2025 at "Science"
DOI: 10.1126/science.ads2688
Abstract: Materials functionalities may be associated with atomic-level structural dynamics occurring on the millisecond timescale. However, the capability of electron microscopy to image structures with high spatial resolution and millisecond temporal resolution is often limited by… read more here.
Keywords: deep denoising; visualizing nanoparticle; nanoparticle surface; denoising ... See more keywords