Two-stage object detection in low-light environments using deep learning image enhancement

Two-stage object detection in low-light environments using deep learning image enhancement

This study presents a two-stage object detection system specifically tailored for low-light conditions. In the initial stage, supervised deep learning image enhancement techniques are utilized to improve image quality and enhance features. The second stage employs a computer vision algorithm for obj...

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Bibliographic Details
Main Authors: Ghaith Al-refai, Hisham Elmoaqet, Abdullah Al-Refai, Ahmad Alzu’bi, Tawfik Al-Hadhrami, Abedalrhman Alkhateeb
Format: Article
Language:English
Published: PeerJ Inc. 2025-04-01
Series:PeerJ Computer Science
Subjects:
Low-light vision
Computer vision
CNN
Image enhancement
YOLO
Two-stage object detection
Online Access:https://peerj.com/articles/cs-2799.pdf
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