Results 1 to 10 of about 209,737 (306)

Image Super-Resolution Reconstruction Network Based on Structural Reparameterization and Feature Reuse [PDF]

Sensors
In the task of integrated circuit micrograph acquisition, image super-resolution reconstruction technology can significantly enhance acquisition efficiency.
Tianyu Li, Xiaoshi Jin, Qiang Liu, Xi Liu   +3 more
doaj   +2 more sources

Event-Guided Image Super-Resolution Reconstruction. [PDF]

Sensors (Basel), 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.
Guo G, Feng Y, Lv H, Zhao Y, Liu H, Bi G.   +5 more
europepmc   +4 more sources

Super-resolution reconstruction in ultrahigh-field MRI. [PDF]

Biophys Rep (N Y), 2023
Magnetic resonance imaging (MRI) is a highly significant imaging platform for a variety of medical and research applications. However, the low spatiotemporal resolution of conventional MRI limits its applicability toward rapid acquisition of ultrahigh-resolution scans.
Payne M, Mali I, Mueller T, Cain M, Segev R, Bossmann SH.   +5 more
europepmc   +4 more sources

Survey of single image super‐resolution reconstruction [PDF]

IET Image Processing, 2020
Image super‐resolution reconstruction refers to a technique of recovering a high‐resolution (HR) image (or multiple images) from a low‐resolution (LR) degraded image (or multiple images).
Kai Li, Shenghao Yang, Runting Dong, Xiaoying Wang, Jianqiang Huang   +4 more
doaj   +2 more sources

Research on Super-Resolution Reconstruction of Coarse Aggregate Particle Images for Earth–Rock Dam Construction Based on Real-ESRGAN [PDF]

Sensors
This paper investigates the super-resolution reconstruction technology of coarse granular particle images for embankment construction in earth/rock dams based on Real-ESRGAN, aiming to improve the quality of low-resolution particle images and enhance the
Shuangping Li, Lin Gao, Bin Zhang, Zuqiang Liu, Xin Zhang, Linjie Guan, Junxing Zheng   +6 more
doaj   +2 more sources

A DEM super resolution reconstruction method based on normalizing flow. [PDF]

Sci Rep
Yu J, Li Y, Bai X, Yang R, Cui M, Wu H, Li Z, Su F, Li Z, Liang T, Yan H.   +10 more
europepmc   +3 more sources

Edge-enhanced infrared image super-resolution reconstruction model under transformer [PDF]

Scientific Reports
Infrared images have important applications in military, security and surveillance fields. However, limited by technical factors, the resolution of infrared images is generally low, which seriously limits the application and development of infrared ...
Lei Hu, Long Hu, MingHui Chen
doaj   +2 more sources

Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]

Jisuanji kexue yu tansuo, 2022
The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
doaj   +1 more source

Review of Super-Resolution Image Reconstruction Algorithms [PDF]

Jisuanji kexue yu tansuo, 2022
In human visual perception system, high-resolution (HR) image is an important medium to clearly express its spatial structure, detailed features, edge texture and other information, and it has a very wide range of practical value in medicine, criminal ...
ZHONG Mengyuan, JIANG Lin
doaj   +1 more source

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
doaj   +1 more source