Work

All-Inclusive Image Enhancement for Degraded Images Exhibiting Low-Frequency Corruption

Year: 2024

Type: article

Source: IEEE Transactions on Circuits and Systems for Video Technology

DOI: 10.1109/tcsvt.2024.3465875

Authors: Mingye Ju, Chunming He, Can Ding, Wenqi Ren, Lin Zhang, Kai-Kuang Ma

Institutions: Nanjing University of Posts and Telecommunications, Duke University, University of Technology Sydney, Sun Yat-sen University, Tongji University, Nanjing University of Aeronautics and Astronautics

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, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province, University Natural Science Research Project of Anhui Province

Awards: G2144552324, G4227502255, G486929061, G6685676733, G6688553980

OpenAlex ID: W4402742509

FWCI: 2.1

Cites: 77

Cited by: 15

Related to: 10