Results 31 to 40 of about 5,054,495 (195)
MRI Super Resolution Using ESRGAN
, 2023 <p>Abstract— Magnetic resonance imaging (MRI) at high spatial resolution is essential for accurate detailed and quantitative physiologic assessment.
Bijimol T K, Savio Jose
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Artificial Intelligence (Enhanced Super-Resolution Generative Adversarial Network) for Calcium Deblooming in Coronary Computed Tomography Angiography: A Feasibility Study [PDF]
, 2022 Background: The presence of heavy calcification in the coronary artery always presents a challenge for coronary computed tomography angiography (CCTA) in assessing the degree of coronary stenosis due to blooming artifacts associated with calcified ...
Zhonghua Sun (23291011) +1 more
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Real-World Super-Resolution for μCT Rock Imaging Using Simple Real-ESRGAN-3D [PDF]
ITM Web of ConferencesComputer tomography technology is widely used in geological exploration as a non-destructive 3D imaging modality integrated with computer simulation. However, high-resolution CT scanning is constrained by economic costs and long acquisition times, and ...
Sun Yue
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StarSRGAN: Improving Real-World Blind Super-Resolution
, 2023 This research is funded by Univer sity of Science, VNU-HCM project CNTT 2023-0The aim of blind super-resolution (SR) in computer vision is to improve the resolution of an image without prior knowledge of the degradation process that caused the image to ...
Vo, Khoa D., Bui, Len T.
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ET-YOLOv5s: Toward Deep Identification of Students’ in-Class Behaviors
IEEE Access, 2022 Recognizing students’ behaviors in classes based on videos of their activity plays an important role in improving teaching quality and paying attention to the healthy growth of students.
Lina Li +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar (SAR) imagery is often degraded by multiplicative speckle and limited resolution, hindering reliable interpretation. To address this, we proposed MambaR-enhanced super-resolution generative adversarial networks (ESRGAN), a ...
Songhan Luan +8 more
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Advanced Intelligent Systems, EarlyView.This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil +4 more
wiley +1 more source
Exploring the Potential of Super-Resolution for Crack Analysis in UAV Facade Orthomosaics of Small Bridges [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesUAV-based bridge inspections offer significant advantages in efficiency and safety, yet they face a fundamental trade-off between achieving the low Ground Sample Distance (GSD) required for high-precision damage analysis and maintaining operational ...
D. Jang, H. Park, E. Jeon, E. Jeon
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Remote Sensing in Ecology and Conservation, Volume 12, Issue 5, Page 712-726, October 2026.This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement
, 2023 Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly. The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a deep learning (DL) model is presented that diagnoses all five stages of
Mamoona Humayun +2 more
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