Results 21 to 30 of about 30,721 (259)
Super-Resolution Reconstruction of Arbitrary Scale Images Based on Multi-Resolution Feature Fusion [PDF]
Jisuanji gongcheng, 2023 Traditional deep learning image super-resolution reconstruction network only extracts features at a fixed resolution and cannot integrate advanced semantic information.
Wenzhuo FAN, Tao WU, Junping XU, Qingqing LI, Jianlin ZHANG, Meihui LI, Yuxing WEI
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Super-resolution reconstruction of rock CT images based on Real-ESRGAN
Gong-kuang zidonghua, 2023 Due to factors such as image acquisition equipment and geological environment, rock CT images have low resolution and unclear details. However, existing image super-resolution reconstruction methods are prone to losing details when characterizing high ...
LI Gang +6 more
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Super-resolution Reconstruction of Remote Sensing Images Based on Joint Nonnegative Dictionary Learning [PDF]
Jisuanji gongcheng, 2016 Aiming at the super-resolution reconstruction of images,a super-resolution reconstruction algorithm for a single image based on joint nonnegative dictionary learning is proposed in this paper,and it is applied in the super-resolution reconstruction of ...
WEI Wei,WU Kongping,GUO Laigong,QIN Meng
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AIP Advances, 2020 A general super-resolution (SR) reconstruction strategy is proposed to address the super-resolution reconstruction of temperature fields from low-resolution coarse temperature field data using convolutional neural networks.
Chen Kong +3 more
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Entropy, 2023 When traditional super-resolution reconstruction methods are applied to infrared thermal images, they often ignore the problem of poor image quality caused by the imaging mechanism, which makes it difficult to obtain high-quality reconstruction results ...
Yichun Jiang +3 more
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Super-resolution reconstruction technology and its application on intelligent terminal device
Dianxin kexue, 2023 The development history of super-resolution reconstruction technology and its typical approaches were briefly introduced.An implementation solution of super-resolution reconstruction was proposed on one kind of intelligent terminal device.The image super-
Guqiao ZHU, Chao JIANG, Yuye XU
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Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
IEEE Photonics Journal, 2021 Super-resolution structured illumination microscopy (SIM) routinely performs image reconstruction in the frequency domain using an approach termed frequency-domain reconstruction (FDR). Due to multiple Fourier transforms between the spatial and frequency
Dan Dan +10 more
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Event-Guided Image Super-Resolution Reconstruction
Sensors, 2023 The event camera efficiently detects scene radiance changes and produces an asynchronous event stream with low latency, high dynamic range (HDR), high temporal resolution, and low power consumption. However, the large output data caused by the asynchronous imaging mechanism makes the increase in spatial resolution of the event camera limited.
Guangsha Guo +5 more
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Video Super-Resolution with Regional Focus for Recurrent Network
Applied Sciences, 2022 Video super-resolution reconstruction is the process of reconstructing low-resolution video frames into high-resolution video frames. Most of the current methods use motion estimation and motion compensation to extract temporal series information, but ...
Yanghui Li +5 more
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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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