Results 91 to 100 of about 5,054,495 (195)

High accuracy water level estimation using super-resolution Sentinel-1 data

International Journal of Applied Earth Observations and Geoinformation
Water level can be effectively monitored through satellite remote sensing. However, a persistent challenge lies in balancing spatial coverage and resolution.
Yan Jia, Quan Liu, Hongjie He, Shuanggen Jin, Chunqiao Song, Kyle Gao, Zebiao Wu   +6 more
doaj   +1 more source

BasicVSR++ vs Real-ESRGAN: 720p-4K, 32.39dB, RTX 4060

Independent analysis; not peer-reviewed.
openaire   +1 more source

A Review and Analysis of GAN-Based Super-Resolution Approaches for INSAT 3D/3DR Satellite Imagery using Artificial Intelligence

627-638The Indian National Satellite System (INSAT)-3D/3DR is a geostationary satellite that is used for meteorological applications in the Indian region. Geostationary satellites have significant spatial coverage and good temporal resolution that help
Rajamohana, S P, R, Bibraj, Mitha, Samir, Thamaraiselvi, S   +3 more
core   +1 more source

Geometric Reliability of AI-Enhanced Super-Resolution in Video-Based 3D Spatial Modeling

ISPRS International Journal of Geo-Information
Video-based photogrammetric reconstruction is increasingly used when high-resolution still images are unavailable. However, limited spatial resolution, compression artifacts, and motion blur often reduce geometric accuracy.
Marwa Mohammed Bori, Zahraa Ezzulddin Hussein, Zainab N. Jasim, Bashar Alsadik   +3 more
doaj   +1 more source

Classification of Diabetic Retinopathy Using ShuffleNet V2 and Real-ESRGAN with CLAHE Image Enhancement

INOVTEK Polbeng - Seri Informatika
Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if not detected and treated early. Manual DR grading from fundus images is time-consuming and highly dependent on expert availability, motivating the need for automated and efficient decision-support systems.
Nicholas Edison, null Tinaliah
openaire   +1 more source

RealBasicVSR vs Real-ESRGAN: Video Clips vs Stills Guide

Independent analysis; not peer-reviewed.
openaire   +1 more source

Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN

With the robust development of technology, license plate recognition technology can now be properly applied in various scenarios, such as road monitoring, tracking of stolen vehicles, detection at parking lot entrances and exits, and so on.
Wang, Ching-Hsiang
core  

Histopathology Image Enhancement Using Multi‐Resolution Deep Learning Techniques

Accurate analysis of histopathology images is essential for disease diagnosis and treatment planning. However, the quality of digital pathology slides is often limited by scanner resolution, which can compromise diagnostic precision and patient care.
Touhami, Meriem, Ahmad Fauzi, Mohammad Faizal, Rehman, Zaka Ur, Hasan, Md Jahid, Mansor, Sarina   +4 more
core   +1 more source

Autonomous vehicle number plate recognition using a YOLO and Esrgan framework

A vehicle number plate recognition framework supports law enforcement for recognizing and tracking vehicles that are lost or used for criminal activities.
Kasaraneni, Dherraj
core   +1 more source

Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution [PDF]

In the field of medical image analysis, there is a substantial need for high-resolution (HR) images to improve diagnostic accuracy. However, it is a challenging task to obtain HR medical images, as it requires advanced instruments and significant time ...
Aghelan, Alireza, Rouhani, Modjtaba
core