Results 31 to 40 of about 10,813,722 (307)
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution
IEEE Access, 2023 Image Super Resolution is a potential approach that can improve the image quality of low-resolution optical sensors, leading to improved performance in various industrial applications.
Armin Mehri +2 more
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Sensors, 2023 Remote sensing images often have limited resolution, which can hinder their effectiveness in various applications. Super-resolution techniques can enhance the resolution of remote sensing images, and arbitrary resolution super-resolution techniques ...
Jinming Luo +4 more
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Image Super-Resolution Reconstruction Method Based on Embeddable Network Structure [PDF]
Jisuanji gongcheng, 2021 The existing Super-Resolution(SR) image reconstruction models based on Convolutional Neural Networks(CNN) have multiple deficiencies,such as instable model training process and low convergence speed.To address the problem,this paper proposes an ...
QIANG Baohua, PANG Yuanchao, YANG Minghao, ZENG Kun, ZHENG Hong, XIE Wu, MO Ye
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Deep Learning Algorithms in Super-Resolution Images
تحلیل مدارها، داده ها و سامانه ها, 2023 Image super-resolution is one of the important image processing processes to increase the resolution of images and videos. In recent years, methods based on deep neural networks for super-resolution have seen significant progress.
Bahar Ghaderi, Hamid Azad
doaj
Investigation of a new method for improving image resolution for camera tracking applications [PDF]
, 2015 Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments.
Longstaff, Andrew P. +4 more
core +1 more source
Image Super-Resolution Using Generative Adversarial Networks with Learned Degradation Operators [PDF]
MATEC Web of Conferences, 2022 Image super-resolution is a research endeavour that has gained notoriety in computer vision. The research goal is to increase the spatial dimensions of an image using corresponding low-resolution and high-resolution image pairs to enhance the perceptual ...
Molefe Molefe, Klein Richard
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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
Super-resolution microscopy based on interpolation and wide spectrum de-noising
Компьютерная оптика, 2023 In the conventional single-molecule localizations and super-resolution microscopy, the pixel size of a raw image is approximately equal to the standard deviation of the point spread function.
T. Cheng, T. Chenchen
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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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Wavelet-Based Enhanced Medical Image Super Resolution
IEEE Access, 2020 Low-resolution medical images can seriously interfere with the medical diagnosis, and poor image quality can lead to loss of detailed information. Therefore, improving the quality of medical images and accelerating the reconstruction is of particular ...
Farah Deeba +3 more
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