Results 21 to 30 of about 49,854 (268)
EURASIP Journal on Image and Video Processing, 2017 Background Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal).
Monagi H. Alkinani, Mahmoud R. El-Sakka
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IEEE Transactions on Image Processing, 2007 20 pages, 12 Postscript figures, uses mathrsf.sty and IEEEtran ...
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Adversarial Gaussian Denoiser for Multiple-Level Image Denoising [PDF]
Sensors, 2021 Image denoising is a challenging task that is essential in numerous computer vision and image processing problems. This study proposes and applies a generative adversarial network-based image denoising training architecture to multiple-level Gaussian image denoising tasks. Convolutional neural network-based denoising approaches come across a blurriness
Aamir Khan +4 more
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Sensors, 2019 In this paper, a novel hybrid method combining adaptive chirp mode pursuit (ACMP) with an adaptive multiscale Savitzky−Golay filter (AMSGF) based on adaptive moving average (AMA) is proposed for offline denoising micro-electromechanical system ...
Jingjing He, Changku Sun, Peng Wang
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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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Denoising of Image Gradients and Total Generalized Variation Denoising [PDF]
Journal of Mathematical Imaging and Vision, 2018 We revisit total variation denoising and study an augmented model where we assume that an estimate of the image gradient is available. We show that this increases the image reconstruction quality and derive that the resulting model resembles the total generalized variation denoising method, thus providing a new motivation for this model.
Birgit Komander +2 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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A Wavenet for Speech Denoising [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 In proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018). Code: https://github.com/drethage/speech-denoising-wavenet - Audio examples: http://jordipons.me/apps/speech-denoising-wavenet/
Dario Rethage, Jordi Pons, Xavier Serra
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Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising
, 2022 11 pages, 18 ...
Ruizhou Liu +5 more
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Discrete Denoising With Shifts [PDF]
IEEE Transactions on Information Theory, 2009 We introduce S-DUDE, a new algorithm for denoising DMC-corrupted data. The algorithm, which generalizes the recently introduced DUDE (Discrete Universal DEnoiser) of Weissman et al., aims to compete with a genie that has access, in addition to the noisy data, also to the underlying clean data, and can choose to switch, up to $m$ times, between sliding ...
Taesup Moon, Tsachy Weissman
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