Results 41 to 50 of about 13,588,714 (305)
Anchored neighborhood deep network for single-image super-resolution
EURASIP Journal on Image and Video Processing, 2018 Real-time image and video processing is a challenging problem in smart surveillance applications. It is necessary to trade off between high frame rate and high resolution to meet the limited bandwidth requirement in many specific applications.
Wuzhen Shi +4 more
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Reference Based Face Super-Resolution
IEEE Access, 2019 Despite the great progress of image super-resolution in recent years, face super-resolution has still much room to explore good visual quality while preserving original facial attributes for larger up-scaling factors.
Zhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan
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Benefiting from Multitask Learning to Improve Single Image Super-Resolution [PDF]
, 2020 Despite significant progress toward super resolving more realistic images by deeper convolutional neural networks (CNNs), reconstructing fine and natural textures still remains a challenging problem.
Thiran, Jean-Philippe +14 more
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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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Super-Resolution Microscopy: A Virus’ Eye View of the Cell [PDF]
, 2014 It is difficult to observe the molecular choreography between viruses and host cell components, as they exist on a spatial scale beyond the reach of conventional microscopy.
Grove, J, Grove, Joe, Joe Grove
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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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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
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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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