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Research on remote sensing multi-image super-resolution based on [Formula: see text]N. [PDF]
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Super-resolution inducing of an image
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002The problem of increasing the resolution of an image I/sub k/ is stated as an inverse problem of image reduction. The enlarged image must belong to the set of images which best approximates I/sub k/ after reducing. A projection of any image onto this set provides one of the possible enlarged images of I/sub k/.
Didier Calle, Annick Montanvert
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Super-Resolution Imaging and Plasmonics
Chemical Reviews, 2017This review describes the growing partnership between super-resolution imaging and plasmonics, by describing the various ways in which the two topics mutually benefit one another to enhance our understanding of the nanoscale world. First, localization-based super-resolution imaging strategies, where molecules are modulated between emissive and ...
Katherine A. Willets +3 more
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Scalable Super-Resolution Imaging
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006In this study, we have developed a novel method to obtain high resolution images using an ordinary digital camera. Using successively taken images, our fusion algorithm has a profound effect in the quality of the image which contains richer independent pixels than the originals do.
Evrim Ozcelik +4 more
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Super-resolution in PET imaging
IEEE Transactions on Medical Imaging, 2006This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm.
John A. Kennedy +4 more
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Epitomic Image Super-Resolution
Proceedings of the AAAI Conference on Artificial Intelligence, 2016We propose Epitomic Image Super-Resolution (ESR) to enhance the current internal SR methods that exploit the self-similarities in the input. Instead of local nearest neighbor patch matching used in most existing internal SR methods, ESR employs epitomic patch matching that features robustness to noise, and both local and non-local patch
Yingzhen Yang +6 more
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A survey on super-resolution imaging
Signal, Image and Video Processing, 2011The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on a set of images, acquired from the same scene and denoted as ‘low-resolution’ images, to overcome the limitation and/or ill-posed conditions of the image acquisition process for facilitating better content visualization and scene recognition. In this
Jing Tian 0002, Kai-Kuang Ma
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Super-Resolution in Medical Imaging
The Computer Journal, 2008This paper provides an overview on super-resolution (SR) research in medical imaging applications. Many imaging modalities exist. Some provide anatomical information and reveal information about the structure of the human body, and others provide functional information, locations of activity for specific activities and specified tasks.
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Image and Vision Computing, 2006
Abstract The shortcomings in commonly used kernel-based super-resolution drive the study of improved super-resolution algorithms of higher quality. In the past years a wide range of very different approaches has been taken to improve super-resolution.
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Abstract The shortcomings in commonly used kernel-based super-resolution drive the study of improved super-resolution algorithms of higher quality. In the past years a wide range of very different approaches has been taken to improve super-resolution.
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