Results 21 to 30 of about 161,991 (287)
Sensors, 2017 As the sound signal of ships obtained by sensors contains other many significant characteristics of ships and called ship-radiated noise (SN), research into a denoising algorithm and its application has obtained great significance. Using the advantage of
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
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Adaptive Image Denoising by Targeted Databases [PDF]
, 2014 We propose a data-dependent denoising procedure to restore noisy images. Different from existing denoising algorithms which search for patches from either the noisy image or a generic database, the new algorithm finds patches from a database that ...
Enming Luo +3 more
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Random noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections [PDF]
, 2005 The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels.
A. Renyi +29 more
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A denoising stacked autoencoders for transient electromagnetic signal denoising [PDF]
Nonlinear Processes in Geophysics, 2018 Abstract. Transient electromagnetic method (TEM) is extremely important in geophysics. However, the secondary field signal(SFS) in TEM received by coil is easily disturbed by random noise, sensor noise and man-made noise, which results in the difficulty in detecting deep geological information.
F. Lin +9 more
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GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks [PDF]
ACM Transactions on Graphics, 2022 In this article, we present GCN-Denoiser, a novel feature-preserving mesh denoising method based on graph convolutional networks ( GCNs ). Unlike previous learning-based mesh denoising methods that exploit handcrafted or voxel-based representations for feature learning, our method explores ...
Shen, Yuefan +7 more
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Multicomponent MR Image Denoising [PDF]
International Journal of Biomedical Imaging, 2009 Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of clinical data. It is because of this reason that denoising methods have been traditionally applied to improve MR image quality.
Manjn, José V. +5 more
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Deep Orthogonal Transform Feature for Image Denoising
IEEE Access, 2020 Recently, CNN-based image denoising has been investigated and shows better performance than conventional vision based techniques. However, there are still a couple of limits that are weak partly in restoring image details like textured regions or produce
Yoon-Ho Shin +3 more
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Wavelet based joint denoising of depth and luminance images [PDF]
, 2007 In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images.
Jovanov, Ljubomir +2 more
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Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising
, 2022 11 pages, 18 ...
Ruizhou Liu +5 more
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Machines, 2022 Space target feature extraction and space infrared target recognition are important components of space situational awareness (SSA). However, owing to far imaging distance between the space target and infrared detector, the infrared signal of the target ...
Hao Zhang +4 more
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