Results 221 to 230 of about 59,582 (263)

Single-visible-light-modulated photoswitches with aggregation-induced emission for super-resolution imaging. [PDF]

Chem Sci
Fang X, Jin P, Li F, Zhang T, Zhang Z, Li M, Zhu WH.   +6 more
europepmc   +1 more source

Pixel super-resolved fluorescence lifetime imaging using deep neural networks. [PDF]

Photonix
Casteleiro Costa P, Ghapandar Kashani P, Liu X, Chen A, Portes A, Bec J, Marcu L, Ozcan A.   +7 more
europepmc   +1 more source

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Single Image Super-Resolution With Multiscale Similarity Learning

IEEE Transactions on Neural Networks and Learning Systems, 2013
Example learning-based image super-resolution (SR) is recognized as an effective way to produce a high-resolution (HR) image with the help of an external training set. The effectiveness of learning-based SR methods, however, depends highly upon the consistency between the supporting training set and low-resolution (LR) images to be handled.
Dacheng Tao, Xuelong Li, Kaibing Zhang   +2 more
exaly   +4 more sources

A Unified Learning Framework for Single Image Super-Resolution

IEEE Transactions on Neural Networks and Learning Systems, 2014
It has been widely acknowledged that learning- and reconstruction-based super-resolution (SR) methods are effective to generate a high-resolution (HR) image from a single low-resolution (LR) input. However, learning-based methods are prone to introduce unexpected details into resultant HR images.
Dacheng Tao, Xuelong Li, Xinbo Gao
exaly   +5 more sources

Single Image Super-Resolution for Medical Image Applications

2020
In medical imaging, high-resolution images are expected to have the ability to deliver a more precise diagnosis with the practical application of high-resolution displays. This research proposes a deep learning method for single image super-resolution that learns an end-to-end mapping between the low and high-resolution images.
Tamarafinide V. Dittimi, Ching Y. Suen
openaire   +1 more source

Single-Image Super-Resolution: A Survey

2019
Single-image super-resolution has been broadly applied in many fields such as military term, medical imaging, etc. In this paper, we mainly focus on the researches of recent years and classify them into non-deep learning SR algorithms and deep learning SR algorithms.
Tingting Yao, Yu Luo, Yantong Chen, Dongqiao Yang, Lei Zhao   +4 more
openaire   +2 more sources

Single Image Super-resolution with Self-similarity

2019 IEEE International Conference on Consumer Electronics (ICCE), 2019
Degraded low-resolution (LR) images are often obtained from cameras. Resolution enhancement and image restoration are very practical in many fields such as medical imaging, surveillance system and remote sensing. Single image super-resolution is a technique which reconstruct a restored high-resolution (HR) image from a degraded LR image. In this paper,
Yoojun Nam, Junwon Mun, Yunseok Jang 0002, Jaeseok Kim   +3 more
openaire   +2 more sources

Single-molecule super-resolution imaging in bacteria

Current Opinion in Microbiology, 2012
Bacteria have evolved complex, multi-component cellular machineries to carry out fundamental cellular processes such as cell division/separation, locomotion, protein secretion, DNA transcription/replication, or conjugation/competence. Diffraction of light has so far restricted the use of conventional fluorescence microscopy to reveal the composition ...
D I, Cattoni, J B, Fiche, M, Nöllmann
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Colorization for Single Image Super Resolution

2010
This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing image details; less attention is paid to the final color assignment. As a result, many existing SR techniques exhibit some form of color aberration in the final upsampled ...
Shuaicheng Liu, Michael S. Brown, Seon Joo Kim, Yu-Wing Tai   +3 more
openaire   +1 more source

Structure preserving single image super-resolution

2016 IEEE International Conference on Image Processing (ICIP), 2016
In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail structures. In our approach, the sharp edges are recovered via a novel edge preserving interpolation technique based on a well estimated gradient field and the edge preserving method, which incorporate the ...
Fan Yang 0053, Don Xie, Huizhu Jia, Rui Chen 0006, Guoqing Xiang, Wen Gao 0001   +5 more
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