Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges

• Published in: Signal processing. Image communication Vol. 109; p. 116848
• Main Authors: Al Sobbahi, Rayan, Tekli, Joe
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2022
• Subjects: Deep learning models; Empirical comparison; Image enhancement; Low-light conditions; Object detection and classification; Empirical comparison; Deep learning models; Low-light conditions; Object detection and classification; Image enhancement

Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions. Recently, a remarkable progress has been made in utilizing deep learning (DL) approaches for LLI enhancement. This paper provides a concise and...