Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method
Sign Up to like & getrecommendations! Published in 2022 at "European Radiology"
DOI: 10.1007/s00330-022-08552-6
Abstract: This study aimed to evaluate the efficacy of a combined wavelet and deep-learning reconstruction (DLR) method for under-sampled pituitary MRI. This retrospective study included 28 consecutive patients who underwent under-sampled pituitary T2-weighted images (T2WI). Images… read more here.
Keywords: deep learning; based denoising; denoising method; method ... See more keywords
An improvement of the Space-Time Image Velocimetry combined with a new denoising method for estimating river discharge
Sign Up to like & getrecommendations! Published in 2021 at "Flow Measurement and Instrumentation"
DOI: 10.1016/j.flowmeasinst.2020.101864
Abstract: Abstract The Space-Time Image Velocimetry (STIV) is a time-averaged velocity measurement method, which takes river surface images as the analysis object, and detects the Main Orientation of Texture (MOT) in a generated Space-Time Image (STI)… read more here.
Keywords: new denoising; time image; space time; time ... See more keywords
Research on an optical e-nose denoising method based on LSSVM
Sign Up to like & getrecommendations! Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2018.04.078
Abstract: Abstract Spectral noise has direct influences on the optical electronic nose (e-nose) to predicted effect and the detection accuracy of the test gas. In this paper, a spectral denoising method based on least squares support… read more here.
Keywords: method based; nose denoising; research optical; denoising method ... See more keywords
An adaptive seismic signal denoising method based on variational mode decomposition
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109277
Abstract: Abstract In this paper, we study the denoising method for unattended ground sensor (UGS) systems that are composed of seismic sensors. Seismic sensors are used for collecting the seismic signals generated by targets. The collected… read more here.
Keywords: denoising method; method based; based variational; seismic signal ... See more keywords
An ECG Signal Denoising Method Using Conditional Generative Adversarial Net.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3169325
Abstract: In this paper, a novel denoising method for electrocardiogram (ECG) signal is proposed to improve performance and availability under multiple noise cases. The method is based on the framework of conditional generative adversarial network (CGAN),… read more here.
Keywords: ecg signal; denoising method; generative adversarial; conditional generative ... See more keywords
A Denoising Method for Light Field Imaging Sensor Based on Spatial-Angular Collaborative Encoding Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3083885
Abstract: Light field (LF) imaging sensors based on micro-lens array are susceptible to numerous noise pollution when collecting raw 4D LF data due to their own special structural design, which affects visual perception and subsequent applications… read more here.
Keywords: denoising method; spatial angular; method; light field ... See more keywords
An Unsupervised CNN-Based Multichannel Interferometric Phase Denoising Method Applied to TomoSAR Imaging
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3263964
Abstract: Tomographic synthetic aperture radar (TomoSAR) is an advanced SAR interferometric technique to retrieve 3-D spatial information. However, the standard deviation in the reconstructed elevation could be high due to the noise in the interferometric phases,… read more here.
Keywords: multichannel interferometric; interferometric phase; phase; phase denoising ... See more keywords
Learning From Noisy Data: An Unsupervised Random Denoising Method for Seismic Data Using Model-Based Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3165037
Abstract: For seismic random noise attenuation, deep learning has attracted much attention and achieved promising performance. However, compared with conventional methods, the denoising performance of supervised learning-based methods heavily depends on massive training samples with high-quality… read more here.
Keywords: network; deep learning; based deep; denoising method ... See more keywords
A Novel Denoising Method Based on Machine Learning in Channel Measurements
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3126432
Abstract: Machine learning (ML) is playing an increasingly important role in processing large amounts of data generated by communication networks, since it can efficiently solve the problems of non-linearity and unstructured data. Recently, ML has been… read more here.
Keywords: novel denoising; method based; machine learning; denoising method ... See more keywords
Texture-preserving denoising method for the removal of random-valued impulse noise in gray-scale images
Sign Up to like & getrecommendations! Published in 2019 at "Optical Engineering"
DOI: 10.1117/1.oe.58.2.023103
Abstract: Abstract. Image denoising has become one of the fundamental problems in the field of image processing. We present an iterative image denoising method named as multitexton noise identification and local dissimilarity-based noise removal that incorporates… read more here.
Keywords: denoising method; method; scale images; noise ... See more keywords
An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/1730321
Abstract: To overcome the disadvantages of the traditional block-matching-based image denoising method, an image denoising method based on block matching with 4D filtering (BM4D) in the 3D shearlet transform domain and a generative adversarial network is… read more here.
Keywords: shearlet; image; method based; denoising method ... See more keywords