Results 91 to 100 of about 1,040 (193)

Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN

CoRR
In this study, proposes a method for improved object detection from the low-resolution images by integrating Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) and Faster Region-Convolutional Neural Network (Faster R-CNN). ESRGAN enhances low-quality images, restoring details and improving clarity, while Faster R-CNN performs accurate ...
Divya Swetha K, Ziaul Haque Choudhury, Hemanta Kumar Bhuyan, Biswajit Brahma, Nilayam Kumar Kamila   +4 more
openaire   +3 more sources

ADVANCING MRI SUPER-RESOLUTION: AN INNOVATIVE DEEP LEARNING APPROACH FOR ENHANCED RADIOLOGICAL STRUCTURE SUPER-RESOLUTION [PDF]

This study focuses on the application of deep learning algorithms to super-resolution in medical MRI images to improve radiological structures, which has, in the recent times become extremely important to the diagnostics.
Ashwini P. Navghane, Ketki Kshirsagar, Rajendra Talware
core   +1 more source

SRGAN in underwater vision

Cognitive Robotics
In recent years, the rapid industrialization of the world has led to an increasing importance of energy minerals. However, due to the scarcity of mineral resources, opportunities to rely on alternative energy are escalating.
Dingqian Zhao
doaj   +1 more source

Application of Real-ESRGAN in improving IR sensor Images for use in SAR operations [PDF]

The use of Unmanned Aerial Vehicles (UAVs) in search and rescue operations has grown significantly, primarily due to reduced costs and lower associated risks.
CORREA, Vinícius Henrique Geraldo
core  

A novel deep learning technique for medical image analysis using improved optimizer

Health Informatics Journal
Application of Convolutional neural network in spectrum of Medical image analysis are providing benchmark outputs which converges the interest of many researchers to explore it in depth.
Vertika Agarwal, MC Lohani, Ankur Singh Bist   +2 more
doaj   +1 more source

SCOPE-YOLO: An Integrated Super-Resolution and Detection Framework for Power Transmission Tower Monitoring in Remote Sensing Imagery

Remote Sensing
Reliable knowledge of power transmission tower locations is fundamental for large-scale inspection and asset management in modern power grids. However, in satellite and aerial remote sensing imagery, towers typically appear as small, slender structures ...
Dachuan Xu, Hao Wang, Shijie Li, Yuhao Ge, Yang Yang, Cheng Su, Zixuan Zhao, Shaohua Wang   +7 more
doaj   +1 more source

Fusion of ESRGAN, Adaptive NSCT, and Multi-Attention CNN With Wavelet Transform for Histopathological Image Classification

Breast cancer is a prominent reason of death amidst females and is considered one of the most widespread types of cancer. Early detection is crucial for effective treatment.
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil   +1 more
core   +1 more source

PENINGKATAN RESOLUSI CITRA FOTOAKUSTIK MELALUI METODE ENHANCED SUPER-RESOLUTION GENERATIVE ADVERSARIAL NETWORKS (ESRGAN) [PDF]

Photoacoustic imaging with the raster scanning method requires a long acquisition time and low image resolution results. Conventional interpolation methods commonly used in digital image processing, including neighborhood, bilinear, and bicubic, aren’t ...
Handi Putra Utama, NIM.: 20106020032
core  

R²-ESRGAN: Improved ESRGAN for Blind Image Super-Resolution

Journal of Korea Multimedia Society
Soeun An, Hanhoon Park
openaire   +1 more source

Super-Resolution-Assisted Farmland Boundary Extraction from Medium-Resolution Satellite Image: A Real-ESRGAN and YOLO Segmentation Framework. [PDF]

Sensors (Basel)
Yu J, Yin H, Huang X, Liu J, Yang S, Zeng B, Zhang J, Wang X, Xiong B.   +8 more
europepmc   +1 more source