Enhancing face recognition in native low-resolution images using deep learning and bicubic interpolati
This paper addresses the challenge of face recognition in Low-Resolution (LR) images, mainly when the resolution is below 48x48 pixels, which is common in surveillance systems. Current face recognition algorithms struggle to deliver satisfactory results with such low-resolution images. This study ut...
Saved in:
| Main Author: | Ngoan Chi Le |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2025-03-01
|
| Series: | Ho Chi Minh City Open University Journal of Science - Engineering and Technology |
| Subjects: | |
| Online Access: | https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/4017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution
by: Muhammad Imaduddin Abdur Rohim, et al.
Published: (2024-02-01) -
Guided Texture Transfer Network for Mid-Infrared Satellite Image Super Resolution
by: Yeji Jeon, et al.
Published: (2025-01-01) -
A Unified Framework for Super-Resolution via Clean Image Prior
by: Songju Na, et al.
Published: (2025-01-01) -
Progresses and clinical application of super-resolution ultrasound imaging: a narrative review
by: Jia-yi Gao, et al.
Published: (2025-06-01) -
Research on Super-resolution Methods for Radar Targets Based on Bat-inspired Spectrogram Correlation and Transformation Models
by: Bohong WANG, et al.
Published: (2025-04-01)