Noise filtering method in images in sparse-view covers
This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary.
Y.V. Goshin, D.V. Arkhipova
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Sparse Coding-Enabled Low-Fluence Multi-Parametric Photoacoustic Microscopy. [PDF]
Wang Z, Zhou Y, Hu S.
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Inference via sparse coding in a hierarchical vision model. [PDF]
Bowren J, Sanchez-Giraldo L, Schwartz O.
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Remote sensing image super-resolution using multi-scale convolutional sparse coding network. [PDF]
Cheng R, Wang H, Luo P.
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Improved Prediction of Amyloid-β and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding. [PDF]
Wu J +10 more
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Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding. [PDF]
Yutani T +10 more
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The Impact of Sparse Coding on Memory Lifetimes in Simple and Complex Models of Synaptic Plasticity. [PDF]
Elliott T.
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Synthetic Aperture Radar Image Despeckling Based on Multi-Weighted Sparse Coding. [PDF]
Liu S, Pu N, Cao J, Zhang K.
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This work has been submitted to the IEEE for possible publication.
Jamison R. Ebert +2 more
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A weighted sparse coding model on product Grassmann manifold for video-based human gesture recognition. [PDF]
Wang Y, Zhang J.
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