Coupled Dictionary Training for Image Super-Resolution

DOI10.1109/TIP.2012.2192127zbMath1373.68441OpenAlexW2088254198WikidataQ51386758 ScholiaQ51386758MaRDI QIDQ5372977

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Publication date: 27 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2012.2192127

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Related Items (15)

Sparsity Constrained Estimation in Image Processing and Computer Vision ⋮ Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models ⋮ Learning-based video superresolution reconstruction using spatiotemporal nonlocal similarity ⋮ Adapting total generalized variation for blind image restoration ⋮ Post-trained convolution networks for single image super-resolution ⋮ Likelihood-constrained coupled space learning for motion synthesis ⋮ Single image super-resolution by approximated Heaviside functions ⋮ Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models ⋮ Efficient document-image super-resolution using convolutional neural network ⋮ Single image super-resolution via blind blurring estimation and anchored space mapping ⋮ Complexity of generic limit sets of cellular automata ⋮ Efficient dictionary learning with sparseness-enforcing projections ⋮ Image deblurring with coupled dictionary learning ⋮ Image edge sharpening via heaviside substitution and structure recovery ⋮ Nonparametric blind super-resolution using adaptive heavy-tailed priors

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