Results 21 to 30 of about 2,430,403 (309)
Super-resolution of remotely sensed images with variable-pixel linear reconstruction [PDF]
, 2007 This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher ...
Núñez de Murga, Jorge, 1955- +1 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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SURVEY OF SUPER RESOLUTION TECHNIQUES [PDF]
ICTACT Journal on Image and Video Processing, 2019 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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Super-resolution Ultrasound Imaging [PDF]
Ultrasound in Medicine & Biology, 2020 Ultrasound in medicine & biology 46(4), 865-891 (2020).
Christensen-Jeffries, Kirsten +11 more
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Super-resolution image display using diffractive decoders
, 2022 High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators.
Anika Tabassum (12981243) +7 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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Image Super-Resolution with Adversarial Learning [PDF]
, 2022 Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core
Role of Atg8 in the regulation of vacuolar membrane invagination
Scientific Reports, 2019 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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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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