Results 31 to 40 of about 3,010,100 (313)
Efficient Long-Range Attention Network for Image Super-resolution [PDF]
European Conference on Computer Vision, 2022 Recently, transformer-based methods have demonstrated impressive results in various vision tasks, including image super-resolution (SR), by exploiting the self-attention (SA) for feature extraction.
Xindong Zhang +3 more
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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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BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment [PDF]
Computer Vision and Pattern Recognition, 2021 A recurrent structure is a popular framework choice for the task of video super-resolution. The state-of-the-art method BasicVSR adopts bidirectional propagation with feature alignment to effectively exploit information from the entire input video.
Kelvin C. K. Chan +3 more
semanticscholar +1 more source
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
doaj +1 more source
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2017 Convolutional neural networks have recently demonstrated high-quality reconstruction for single-image super-resolution. In this paper, we propose the Laplacian Pyramid Super-Resolution Network (LapSRN) to progressively reconstruct the sub-band residuals ...
Wei-Sheng Lai +3 more
semanticscholar +1 more source
Super-resolution in Phase Space [PDF]
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 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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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
doaj +1 more source
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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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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