Results 11 to 20 of about 59,582 (263)
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 from a single image [PDF]
2009 IEEE 12th International Conference on Computer Vision, 2009 Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misalignments), and (ii) Example-Based super-resolution (learning correspondence between low and high resolution image patches from a database).
Daniel Glasner, Shai Bagon, Michal Irani
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Cross-View Attention Interaction Fusion Algorithm for Stereo Super-Resolution
Applied Sciences, 2023 In the process of stereo super-resolution reconstruction, in addition to the richness of the extracted feature information directly affecting the texture details of the reconstructed image, the texture details of the corresponding pixels between stereo ...
Yaru Zhang +3 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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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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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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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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Single-Image Super-Resolution: A Benchmark [PDF]
, 2014 Single-image super-resolution is of great importance for vision applications, and numerous algorithms have been proposed in recent years. Despite the demonstrated success, these results are often generated based on different assumptions using different datasets and metrics.
Chih-Yuan Yang +2 more
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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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