Results 21 to 30 of about 83,395 (347)
Single Image Super Resolution via Multi-Attention Fusion Recurrent Network
IEEE Access, 2023 Deep convolutional neural networks have significantly enhanced the performance of single image super-resolution in recent years. However, the majority of the proposed networks are single-channel, making it challenging to fully exploit the advantages of ...
Qiqi Kou +5 more
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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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Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations [PDF]
Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019 Single Image Super-Resolution (SISR) aims to generate a high-resolution (HR) image of a given low-resolution (LR) image. The most of existing convolutional neural network (CNN) based SISR methods usually take an assumption that a LR image is only bicubicly down-sampled version of an HR image. However, the true degradation (i.e.
UMER, RAO MUHAMMAD +2 more
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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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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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Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution [PDF]
, 2016 Motivated by the fact that image patches could be inherently represented by matrices, single-image super-resolution is treated as a problem of learning regression operators in a matrix space in this paper. The regression operators that map low-resolution
Yi Tang, Ling Shao
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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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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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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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