Survey of single image super‐resolution reconstruction
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 +4 more
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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A DEM Super-Resolution Reconstruction Network Combining Internal and External Learning
Remote Sensing, 2022 The study of digital elevation model (DEM) super-resolution reconstruction algorithms has solved the problem of the need for high-resolution DEMs. However, the DEM super-resolution reconstruction algorithm itself is an inverse problem, and making full ...
Xu Lin +6 more
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Image Super-Resolution Reconstruction Network Based on Structural Reparameterization and Feature Reuse [PDF]
SensorsIn the task of integrated circuit micrograph acquisition, image super-resolution reconstruction technology can significantly enhance acquisition efficiency.
Tianyu Li +3 more
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Guided filter-based multi-scale super-resolution reconstruction
CAAI Transactions on Intelligence Technology, 2020 The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng +3 more
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Generalizing the Nonlocal-Means to Super-Resolution Reconstruction [PDF]
IEEE Transactions on Image Processing, 2009 Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic super-resolution techniques strongly rely on the availability of accurate motion estimation for this fusion task.
Matan Protter +2 more
exaly +3 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 +5 more
europepmc +4 more sources
Research on Super-Resolution Reconstruction of Coarse Aggregate Particle Images for Earth–Rock Dam Construction Based on Real-ESRGAN [PDF]
SensorsThis 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 +6 more
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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 +5 more
europepmc +4 more sources
Edge-enhanced infrared image super-resolution reconstruction model under transformer [PDF]
Scientific ReportsInfrared 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
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