Results 31 to 40 of about 49,854 (268)
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 ...
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DENOISING OF GEOACOUSTIC EMISSION SIGNALS FROM NATIVE AND TECHNOGENIC NOISES USING THE SPARSE APPROXIMATION METHOD [PDF]
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2015 The approach of geoacoustic emission signals denoising from native and technogenic noises based on sparse approximation method is offered in this paper.
O.O. Lukovenkova
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EFID: Edge-Focused Image Denoising Using a Convolutional Neural Network
IEEE Access, 2023 In this paper, we propose an edge-focused image denoising convolutional neural network for the restoration of noisy images corrupted with additive white Gaussian noise (AWGN).
Shivarama Holla K +2 more
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Denoising as well as the best of any two denoisers [PDF]
2013 IEEE International Symposium on Information Theory, 2013 Given two arbitrary sequences of denoisers for block lengths tending to infinity we ask if it is possible to construct a third sequence of denoisers with an asymptotically vanishing (in block length) excess expected loss relative to the best expected loss of the two given denoisers for all clean channel input sequences.
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Composite Denoising Autoencoders [PDF]
, 2016 In representation learning, it is often desirable to learn features at different levels of scale. For example, in image data, some edges will span only a few pixels, whereas others will span a large portion of the image. We introduce an unsupervised representation learning method called a composite denoising autoencoder CDA to address this.
Geras, Krzysztof, Sutton, Charles
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Supervised Neural Discrete Universal Denoiser for Adaptive Denoising
CoRR, 2021 Preprint
Sungmin Cha +3 more
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Simultaneous reconstruction and denoising for DAS-VSP seismic data by RRU-net
Frontiers in Earth Science, 2023 Distributed acoustic sensing in vertical seismic profile (DAS-VSP) acquisition plays an important role in reservoir monitoring. But the field data can be noisy and associated with missing traces which affects the seismic imaging and geological ...
Huanhuan Tang +3 more
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Medical Image Denoising Using Convolutional Denoising Autoencoders [PDF]
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016 To appear: 6 pages, paper to be published at the Fourth Workshop on Data Mining in Biomedical Informatics and Healthcare at ICDM ...
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Overview of Research on Digital Image Denoising Methods
SensorsDuring image collection, images are often polluted by noise because of imaging conditions and equipment limitations. Images are also disturbed by external noise during compression and transmission, which adversely affects consequent processing, like ...
Jing Mao +3 more
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