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Image Super-Resolution Via Sparse Representation [PDF]

open access: yesIEEE Transactions on Image Processing, 2010
This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately ...
John Wright, Jianchao Yang
exaly   +3 more sources

Deep Learning for Image Super-Resolution: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Steven C H Hoi, Zhihao Wang
exaly  

Real-world single image super-resolution: A brief review

Information Fusion, 2022
Honggang Chen, Ce Zhu, Xiaohai He
exaly  

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution

IEEE Transactions on Cybernetics, 2023
Gemine Vivone   +2 more
exaly  

Image super-resolution: A comprehensive review, recent trends, challenges and applications

Information Fusion, 2023
Vishal Goyal   +2 more
exaly  

Image Super-Resolution via Iterative Refinement

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
William Chan, David J Fleet
exaly  

Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective

IEEE/CAA Journal of Automatica Sinica, 2023
Xinya Wang, Jiayi Ma, Yingsong Cheng
exaly  

SRDiff: Single image super-resolution with diffusion probabilistic models

Neurocomputing, 2022
Yueting Chen, Zhihai Xu, Meng Chang
exaly  

Image Super-Resolution Using Deep Convolutional Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Chen Change Loy, Chao Dong, Tang Xiao'ou
exaly  

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