Results 51 to 60 of about 3,028,783 (361)
Lesion focused super-resolution [PDF]
Medical Imaging 2019: Image Processing, 2019 Super-resolution (SR) for image enhancement has great importance in medical image applications. Broadly speaking, there are two types of SR, one requires multiple low resolution (LR) images from different views of the same object to be reconstructed to the high resolution (HR) output, and the other one relies on the learning from a large amount of ...
Jin Zhu, Guang Yang 0006, Pietro Lió
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Super-Resolution Imaging [PDF]
Journal of Electronic Imaging, 2013 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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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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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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NAFSSR: Stereo Image Super-Resolution Using NAFNet [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Stereo image super-resolution aims at enhancing the quality of super-resolution results by utilizing the complementary information provided by binocular systems.
X. Chu, Liangyu Chen, Wenqing Yu
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Unravelling the structure of viral replication complexes at super-resolution [PDF]
, 2013 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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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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Unsupervised Degradation Representation Learning for Blind Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2021 Most existing CNN-based super-resolution (SR) methods are developed based on an assumption that the degradation is fixed and known (e.g., bicubic downsampling).
Longguang Wang +6 more
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SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design complex deep neural networks to learn strong feature ...
Jiaqi Zhang +5 more
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Variational Bayesian Super Resolution [PDF]
IEEE Transactions on Image Processing, 2011 In this paper, we address the super resolution (SR) problem from a set of degraded low resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the sub-pixel motion between the LR images significantly affects the performance of the reconstructed HR image. In this paper, we propose novel super resolution methods where the HR
S. Derin Babacan +2 more
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