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Super-resolution: a comprehensive survey
K Nasrollahi, TB Moeslund - Machine vision and applications, 2014 - Springer
Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …
more low-resolution observations, has been a very attractive research topic over the last two …
[PDF][PDF] A comprehensive review of deep learning-based single image super-resolution
SMA Bashir, Y Wang, M Khan, Y Niu - PeerJ Computer Science, 2021 - peerj.com
Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …
resolution of an image in the field of computer vision. In the last two decades, significant …
Fast and robust multiframe super resolution
Super-resolution reconstruction produces one or a set of high-resolution images from a set
of low-resolution images. In the last two decades, a variety of super-resolution methods have …
of low-resolution images. In the last two decades, a variety of super-resolution methods have …
Kernel regression for image processing and reconstruction
H Takeda, S Farsiu, P Milanfar - IEEE Transactions on image …, 2007 - ieeexplore.ieee.org
In this paper, we make contact with the field of nonparametric statistics and present a
development and generalization of tools and results for use in image processing and …
development and generalization of tools and results for use in image processing and …
Advances and challenges in super‐resolution
Super‐Resolution reconstruction produces one or a set of high‐resolution images from a
sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution …
sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution …
Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI
A Gholipour, JA Estroff… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Fast magnetic resonance imaging slice acquisition techniques such as single shot fast spin
echo are routinely used in the presence of uncontrollable motion. These techniques are …
echo are routinely used in the presence of uncontrollable motion. These techniques are …
Super‐resolution methods in MRI: can they improve the trade‐off between resolution, signal‐to‐noise ratio, and acquisition time?
Improving the resolution in magnetic resonance imaging comes at the cost of either lower
signal‐to‐noise ratio, longer acquisition time or both. This study investigates whether so …
signal‐to‐noise ratio, longer acquisition time or both. This study investigates whether so …
Deep reparametrization of multi-frame super-resolution and denoising
G Bhat, M Danelljan, F Yu… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose a deep reparametrization of the maximum a posteriori formulation commonly
employed in multi-frame image restoration tasks. Our approach is derived by introducing a …
employed in multi-frame image restoration tasks. Our approach is derived by introducing a …
PiCam an ultra-thin high performance monolithic camera array
K Venkataraman, D Lelescu, J Duparré… - ACM Transactions on …, 2013 - dl.acm.org
We present PiCam (Pelican Imaging Camera-Array), an ultra-thin high performance
monolithic camera array, that captures light fields and synthesizes high resolution images …
monolithic camera array, that captures light fields and synthesizes high resolution images …
[PDF][PDF] A frequency domain approach to registration of aliased images with application to super-resolution
P Vandewalle, S Süsstrunk, M Vetterli - EURASIP journal on advances in …, 2006 - Springer
Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution
images of a scene. Precise alignment of the input images is an essential part of such …
images of a scene. Precise alignment of the input images is an essential part of such …