Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning. [PDF]
Sensors (Basel)Ho QT, Duong MT, Lee S, Hong MC.
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A lightweight adaptive image deblurring framework using dynamic convolutional neural networks. [PDF]
Sci RepZheng X, Li Y, Zhu Y, Zhao H, Huo P.
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A survey on various image deblurring methods
, 2016 Image blur is one of the main types of degradation that reduces image quality. Image deblurring is an attempt to invert blurring process by using mathematical model to get best estimation of latent (sharp) image. Blurring can be modeled mathematically as
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M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]
Front Big DataNing K, Lü Q, Liao X.
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Efficient preconditioning strategies for accelerating GMRES in block-structured nonlinear systems for image deblurring. [PDF]
PLoS OneKhalid R +4 more
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A New Design in Iterative Image Deblurring for Improved Robustness and Performance. [PDF]
Pattern Recognit, 2019 Li T +7 more
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Improving acne severity detection: a GAN framework with contour accentuation for image deblurring. [PDF]
Front BioinformMascarenhas PP +4 more
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PET Image Deblurring and Super-Resolution with an MR-Based Joint Entropy Prior. [PDF]
IEEE Trans Comput Imaging, 2019 Song TA +7 more
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EHNet: Efficient Hybrid Network with Dual Attention for Image Deblurring. [PDF]
Sensors (Basel)Ho QT, Duong MT, Lee S, Hong MC.
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MIMO-Uformer: A Transformer-Based Image Deblurring Network for Vehicle Surveillance Scenarios. [PDF]
J ImagingZhang J +6 more
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