Results 51 to 60 of about 259,715 (355)
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images [PDF]
Computer Vision and Pattern Recognition, 2021 In the last few years, image denoising has benefited a lot from the fast development of neural networks. However, the requirement of large amounts of noisy-clean image pairs for supervision limits the wide use of these models.
Tao Huang +4 more
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Poisson denoising on the sphere [PDF]
SPIE Proceedings, 2009 In the scope of the Fermi mission, Poisson noise removal should improve data quality and make source detection easier. This paper presents a method for Poisson data denoising on sphere, called Multi-Scale Variance Stabilizing Transform on Sphere (MS-VSTS).
Schmitt, Jeremy +4 more
openaire +3 more sources
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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Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey [PDF]
Neutrosophic Sets and Systems, 2021 Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis.
N.N. Mostafa, K. Ahmed, I. El-Henawy
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Masked Image Training for Generalizable Deep Image Denoising [PDF]
Computer Vision and Pattern Recognition, 2023 When capturing and storing images, devices inevitably introduce noise. Reducing this noise is a critical task called image denoising. Deep learning has become the de facto method for image denoising, especially with the emergence of Transformer-based ...
Haoyu Chen +7 more
semanticscholar +1 more source
Multiscale Feature Fusion for the Multistage Denoising of Airborne Single Photon LiDAR
Remote Sensing, 2023 Compared with the existing modes of LiDAR, single-photon LiDAR (SPL) can acquire terrain data more efficiently. However, influenced by the photon-sensitive detectors, the collected point cloud data contain a large number of noisy points.
Shuming Si +9 more
doaj +1 more source
Combined wavelet domain and motion compensated filtering compliant with video codecs [PDF]
, 2007 In this paper, we introduce the idea of using motion estimation resources from a video codec for video denoising. This is not straightforward because the motion estimators aimed for video compression and coding, tolerate errors in the estimated motion ...
Jovanov, Ljubomir +5 more
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Similarity and denoising [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013 We can discover the effective similarity among pairs of finite objects and denoise a finite object using the Kolmogorov complexity of these objects. The drawback is that the Kolmogorov complexity is not computable. If we approximate it, using a good real-world compressor, then it turns out that on natural data the processes give adequate results in ...
openaire +5 more sources
Hourly Flood Forecasting Using Hybrid Wavelet-SVM [PDF]
Journal of Soft Computing in Civil Engineering, 2022 The floods of 2018 and 2019 have underlined the urgent need for development and implementation of efficient and robust flood forecasting models for the major rivers in the State of Kerala, India.
Baheerah Shada +2 more
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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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