Work

A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement

Year: 2025

Type: article

Source: SIAM Journal on Imaging Sciences

DOI: 10.1137/24m1680179

Authors: Qianting Ma, Yang Wang, Tieyong Zeng

Institutions: Nanjing University of Information Science and Technology, Hong Kong University of Science and Technology, Chinese University of Hong Kong

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Government of Jiangsu Province, Nanjing University of Information Science and Technology, Innovation and Technology Fund, National Key Research and Development Program of China

Awards: G1951610002, G3885491306, G6455427235, G6748106075, Artificial Intelligent Methods and Technologies for Precise Diagnosis and Treatment of Cancer, G8890488292

OpenAlex ID: W4408911705

FWCI: 1.086

Cites: 40

Cited by: 3

Related to: 10