A Semantic-Guided State-Space Learning Framework for Low-Light Image Enhancement

Computers, materials & continua/Computers, materials & continua (Print) 2026 Open access

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Authors: Xi Cai, Xiaoqiang Wang, Huiying Zhao, Guang Han
DOI: 10.32604/cmc.2026.075756
Cited by: 0

Abstract

Low-light image enhancement (LLIE) remains challenging due to underexposure, color distortion, and amplified noise introduced during illumination correction. Existing deep learning–based methods typically apply uniform enha... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Image Enhancement Techniques Advanced Image Processing Techniques Image and Signal Denoising Methods

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN