Results 31 to 40 of about 2,208,977 (261)
SURVEY OF SUPER RESOLUTION TECHNIQUES [PDF]
The key objective of super-resolution imaging is the process of reconstructing a high resolution image from one or a set of low resolution images, to overcome the ill-posed conditions of the image capturing process to get better visualization.
Anand Deshpande, Prashant P Patavardhan
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Review and Prospect of Image Super-Resolution Technology
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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Super-Resolution Imaging [PDF]
This book serves as an introduction to the flourishing field of super-resolution imaging. It is a compiled volume, with different authors for each of its 14 chapters. While not having a strong outline or textbook format, the chapters group into several sections.
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Unravelling the structure of viral replication complexes at super-resolution [PDF]
This work was supported by Biotechnology and Biomedical Sciences Research Council grant BB/H018719/1During infection, many RNA viruses produce characteristic inclusion bodies that contain both viral and host components.
Karl J. Oparka +12 more
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mapSR: A Deep Neural Network for Super-Resolution of Raster Map
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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Role of Atg8 in the regulation of vacuolar membrane invagination
Cellular heat stress can cause damage, and significant changes, to a variety of cellular structures. When exposed to chronically high temperatures, yeast cells invaginate vacuolar membranes.
Ayane Ishii +7 more
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Guided filter-based multi-scale super-resolution reconstruction
The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng +3 more
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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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Super-resolution in Phase Space [PDF]
This work considers the problem of super-resolution. The goal is to resolve a Dirac distribution from knowledge of its discrete, low-pass, Fourier measurements. Classically, such problems have been dealt with parameter estimation methods. Recently, it has been shown that convex-optimization based formulations facilitate a continuous time solution to ...
Ayush Bhandari +2 more
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Super-resolution Ultrasound Imaging [PDF]
Ultrasound in medicine & biology 46(4), 865-891 (2020).
Christensen-Jeffries, Kirsten +11 more
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