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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IRE: Improved Image Super-Resolution Based on Real-ESRGAN
IEEE Access, 2023 Image super-resolution (SR) is a research field focusing on image degradation techniques. The High-order Deterioration Model (HDM) implemented in Real-ESRGAN has proven more effective in simulating the degradation of real-world images compared to ...
Zhengwei Zhu +4 more
doaj +4 more sources
Super-Resolution of Medical Images Using Real ESRGAN
IEEE AccessRich details in an image are constantly vital for medical image analysis to detect a broad extent of medical ailments. The diagnosis will be best served if the image is accessible in high resolution and the small details are preserved.
Priyanka Nandal +3 more
doaj +4 more sources
Super-Resolution-Assisted Farmland Boundary Extraction from Medium-Resolution Satellite Image: A Real-ESRGAN and YOLO Segmentation Framework [PDF]
SensorsThis study addresses the issue of insufficient spatial resolution in remote sensing images for farmland boundary identification in precision agriculture.
Junyao Yu +8 more
doaj +4 more sources
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
doaj +2 more sources
Real-ESRGAN: Training Real-World Blind Super-Resolution With Pure Synthetic Data [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images. In this work, we extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data ...
Xintao Wang, Liangbin Xie
exaly +3 more sources
Enhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models [PDF]
Scientific ReportsSuper-resolution (SR) techniques present a suitable solution to increase the image resolution acquired using an ultrasound device characterized by a low image resolution. This can be particularly beneficial in low-resource imaging settings.
Hafida Boumeridja +8 more
doaj +2 more sources
Training ESRGAN with multi-scale attention U-Net discriminator [PDF]
Scientific ReportsIn this paper, we propose MSA-ESRGAN, a novel super-resolution model designed to enhance the perceptual quality of images. The key innovation of our approach lies in the integration of a multi-scale attention U-Net discriminator, which allows for more ...
Quan Chen, Hao Li, Gehao Lu
doaj +2 more sources
UAV multi-source data fusion with super-resolution for accurate soybean leaf area index estimation [PDF]
Frontiers in Plant ScienceIntroductionThe Leaf Area Index (LAI) is a critical biophysical parameter for assessing crop canopy structure and health. Unmanned Aerial Vehicles (UAVs) equipped with multispectral sensors offer a high-throughput solution for LAI estimation, but flight ...
Zhenqing Zhao +9 more
doaj +2 more sources
A Lightweight Model for Hot-Rolled Steel Strip Surface Defect Recognition [PDF]
SensorsWith the rapid development of intelligent manufacturing and industrial automation, defect recognition and detection of hot-rolled strip steel have become crucial to ensuring both production efficiency and product quality.
Naixuan Guo +4 more
doaj +2 more sources