Results 21 to 30 of about 18,250,374 (304)
Edge-Informed Single Image Super-Resolution [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 The recent increase in the extensive use of digital imaging technologies has brought with it a simultaneous demand for higher-resolution images. We develop a novel edge-informed approach to single image super-resolution (SISR). The SISR problem is reformulated as an image inpainting task.
Kamyar Nazeri +2 more
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Fast and simple super-resolution with single images
Scientific Reports, 2022 AbstractWe present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate
Eilers, Paul H. C., Ruckebusch, Cyril
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Skip-Concatenated Image Super-Resolution Network for Mobile Devices
IEEE Access, 2023 Single-image super-resolution technology has been widely studied in various applications to improve the quality and resolution of degraded images acquired from noise-sensitive low-resolution sensors.
Ganzorig Gankhuyag +8 more
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Analysis of Single Image Super Resolution Models
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022 Image Super-Resolution (SR) is a set of image processing techniques which improve the resolution of images and videos. Deep learning approaches have made remarkable improvement in image super-resolution in recent years. This article aims and seeks to provide a comprehensive analysis on recent advances of models which has been used in image ...
Köprülü, Mertali +1 more
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Deep coordinate attention network for single image super‐resolution
IET Image Processing, 2022 Deep learning techniques and deep networks have recently been extensively studied and widely applied to single image super‐resolution (SR). Among them, channel attention has garnered the most focus owing to its significant boost in the presentational ...
Chao Xie, Hongyu Zhu, Yeqi Fei
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Suitability of Single Image Super Resolution Models for Video Super Resolution
International Journal of Engineering and Advanced Technology, 2020 This project is an attempt to understand the suitability of the Single image super resolution models to video super resolution. Super Resolution refers to the process of enhancing the quality of low resolution images and video. Single image super resolution algorithms refer to those algorithms that can be applied on a single image to enhance its ...
Shreyas D G +2 more
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Analog Image Modeling for 3D Single Image Super Resolution and Pansharpening
Frontiers in Applied Mathematics and Statistics, 2020 Image super-resolution is an image reconstruction technique which attempts to reconstruct a high resolution image from one or more under-sampled low-resolution images of the same scene.
Richard Lartey +3 more
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Pyramidal dense attention networks for single image super‐resolution
IET Image Processing, 2022 Recently, residual and dense networks have effectively promoted the development of image super‐resolution (SR). However, most dense networks based SR methods do not make full use of dense feature information.
Huapeng Wu +4 more
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Spatiotemporal super-resolution for low bitrate H.264 video [PDF]
, 2010 Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-
Anantrasirichai, N +3 more
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Quantum Annealing for Single Image Super-Resolution
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Accepted to IEEE/CVF CVPR 2023, NTIRE Challenge and Workshop.
Han Yao Choong +2 more
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