Journal ArticleDOI
Image super-resolution
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TLDR
This paper aims to provide a review of SR from the perspective of techniques and applications, and especially the main contributions in recent years, and discusses the current obstacles for future research.About:
This article is published in Signal Processing.The article was published on 2016-11-01. It has received 378 citations till now.read more
Citations
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Journal ArticleDOI
An overview of deep learning in medical imaging focusing on MRI
Alexander Lundervold,Alexander Lundervold,Arvid Lundervold,Arvid Lundervold,Arvid Lundervold +4 more
TL;DR: In this article, the authors provide a short overview of recent advances and some associated challenges in machine learning applied to medical image processing and image analysis, and provide a starting point for people interested in experimenting and perhaps contributing to the field of machine learning for medical imaging.
Journal ArticleDOI
An overview of deep learning in medical imaging focusing on MRI
Alexander Lundervold,Alexander Lundervold,Arvid Lundervold,Arvid Lundervold,Arvid Lundervold +4 more
TL;DR: This paper indicates how deep learning has been applied to the entire MRI processing chain, from acquisition to image retrieval, from segmentation to disease prediction, and provides a starting point for people interested in experimenting and contributing to the field of deep learning for medical imaging.
Journal ArticleDOI
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Guotai Wang,Guotai Wang,Guotai Wang,Wenqi Li,Wenqi Li,Michael Aertsen,Jan Deprest,Sebastien Ourselin,Tom Vercauteren,Tom Vercauteren,Tom Vercauteren +10 more
TL;DR: In this article, a test-time augmentation-based aleatoric uncertainty was proposed to analyze the effect of different transformations of the input image on the segmentation output, and the results showed that the proposed test augmentation provides a better uncertainty estimation than calculating the testtime dropout-based model uncertainty alone and helps to reduce overconfident incorrect predictions.
Journal ArticleDOI
An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
TL;DR: The proposed integrated fusion framework can achieve the integrated fusion of multisource observations to obtain high spatio-temporal-spectral resolution images, without limitations on the number of remote sensing sensors.
Journal ArticleDOI
Super-Resolution for Remote Sensing Images via Local–Global Combined Network
Sen Lei,Zhenwei Shi,Zhengxia Zou +2 more
TL;DR: This letter proposes a new single-image super-resolution algorithm named local–global combined networks (LGCNet) for remote sensing images based on the deep CNNs, elaborately designed with its “multifork” structure to learn multilevel representations ofRemote sensing images including both local details and global environmental priors.
References
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Proceedings ArticleDOI
A regularization framework for joint blur estimation and super-resolution of video sequences
Hu He,Lisimachos P. Kondi +1 more
TL;DR: This paper proposes a generalized framework of regularized image/video iterative blind deconvolution / super-resolution (IBD-SR) algorithm, using some information from the more matured blind deconVolution techniques from image restoration to help the iterative image/ video super- resolution algorithm converge faster and be stable.
Proceedings ArticleDOI
A comparison of superresolution reconstruction methods for multi-angle CHRIS/Proba images
TL;DR: In this paper, the results of three different super-resolution methods applied to multi-angular CHRIS/Proba data were presented, including non-uniform interpolation, de-convolution, and total variation.
Journal ArticleDOI
Vehicle license plate super-resolution using soft learning prior
Yushuang Tian,Kim-Hui Yap,Yu He +2 more
TL;DR: A new framework that adopts a soft learning approach in license plate super-resolution by integrating image SR with optical character recognition (OCR) to perform VLP SR and results show that the proposed method is effective in handling license plate SR in both simulated and real experiments.
Journal ArticleDOI
Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion
Yushuang Tian,Kim-Hui Yap +1 more
TL;DR: The proposed iterative SR framework enables the HR image and motion parameters to be estimated simultaneously and progressively and could increase the potential SR improvement as more accurate estimates of motion parameters could be obtained iteratively.
Journal ArticleDOI
Evaluation of Skybox Video and Still Image products
TL;DR: In this article, the SkySat-1 satellite was used to image a target in high-definition panchromatic video for up to 90 seconds, using super-resolution techniques, sub-meter accuracy was reached for the still imagery.