Super-resolution imaging

Known as: Inverse Apodization, Optical superresolution, Super resolution 
Super-resolution imaging (SR) is a class of techniques that enhance the resolution of an imaging system. In some SR techniques—termed optical SR—the… (More)
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Papers overview

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Review
2017
Review
2017
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image… (More)
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Highly Cited
2016
Highly Cited
2016
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping… (More)
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Highly Cited
2016
Highly Cited
2016
We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such… (More)
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Highly Cited
2014
Highly Cited
2014
We propose a deep learning method for single image superresolution (SR). Our method directly learns an end-to-end mapping between… (More)
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Highly Cited
2014
Highly Cited
2014
We address the problem of image upscaling in the form of single image super-resolution based on a dictionary of lowand… (More)
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Highly Cited
2011
Highly Cited
2011
As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration… (More)
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Highly Cited
2008
Highly Cited
2008
This paper addresses the problem of generating a super-resolution (SR) image from a single low-resolution input image. We… (More)
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Highly Cited
2007
Highly Cited
2007
Recent advances in far-field optical nanoscopy have enabled fluorescence imaging with a spatial resolution of 20 to 50 nanometers… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as… (More)
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Highly Cited
2002
Highly Cited
2002
Image-based models for computer graphics lack resolution independence: they cannot be zoomed much beyond the pixel resolution… (More)
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