Results 21 to 30 of about 236,552 (310)
Generalized Face Super-Resolution [PDF]
IEEE Transactions on Image Processing, 2008 Existing learning-based face super-resolution (hallucination) techniques generate high-resolution images of a single facial modality (i.e., at a fixed expression, pose and illumination) given one or set of low-resolution face images as probe. Here, we present a generalized approach based on a hierarchical tensor (multilinear) space representation for ...
Jia, K, Gong, SG
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Regulation of ER-Golgi Transport Dynamics by GTPases in Budding Yeast
Frontiers in Cell and Developmental Biology, 2018 A large number of proteins are synthesized de novo in the endoplasmic reticulum (ER). They are transported through the Golgi apparatus and then delivered to their proper destinations.
Yasuyuki Suda +4 more
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JISA (Jurnal Informatika dan Sains), 2021 This problem addresses the problem of low-resolution image (noisy) that will proof later by PSNR number. The best way to improve this low-resolution problem is by utilizing Super Resolution (SR) algorithm methodology.
Muhamad Ghofur, Tjong Wan Sen
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Super-resolution microscopy demystified [PDF]
Nature Cell Biology, 2019 Super-resolution microscopy (SRM) bypasses the diffraction limit, a physical barrier that restricts the optical resolution to roughly 250 nm and was previously thought to be impenetrable. SRM techniques allow the visualization of subcellular organization with unprecedented detail, but also confront biologists with the challenge of selecting the best ...
Schermelleh, L +6 more
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mapSR: A Deep Neural Network for Super-Resolution of Raster Map
ISPRS International Journal of Geo-Information, 2023 The purpose of multisource map super-resolution is to reconstruct high-resolution maps based on low-resolution maps, which is valuable for content-based map tasks such as map recognition and classification.
Honghao Li, Xiran Zhou, Zhigang Yan
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124-Color Super-resolution Imaging by Engineering DNA-PAINT Blinking Kinetics [PDF]
, 2019 Optical super-resolution techniques reach unprecedented spatial resolution down to a few nanometers. However, efficient multiplexing strategies for the simultaneous detection of hundreds of molecular species are still elusive.
Ganji, M. +13 more
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Review and Prospect of Image Super-Resolution Technology
Jisuanji kexue yu tansuo, 2020 Image super-resolution (SR) is an important type of image processing technology for improving image and video resolution in computer vision. In recent years, thanks to the success of neural networks, image super-resolution technology based on deep ...
LIU Ying, ZHU Li, LIM Kengpang, LI Yinghua, WANG Fuping, LU Jin
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Energy Reports, 2022 Water is the source of life and a very important part of life. However, the current water resources security is facing global challenges. Affected by climate change and human factors, how to quickly realize the continuous monitoring of water resources ...
Lei Feng +5 more
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Improving spatial resolution of confocal Raman microscopy by super-resolution image restoration [PDF]
, 2016 A new super-resolution image restoration confocal Raman microscopy method (SRIR-RAMAN) is proposed for improving the spatial resolution of confocal Raman microscopy. This method can recover the lost high spatial frequency of the confocal Raman microscopy
Cui, Han +5 more
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MultiDimensional Sparse Super-Resolution [PDF]
SIAM Journal on Mathematical Analysis, 2019 The authors consider the computation of the positions and amplitudes of pointwise sources from linear measurements affected by additive noise. A regularized version of this problem is obtained by a minimization problem where the total variation of the solution is used as regularization term.
Poon, Clarice, Peyré, Gabriel
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