Work

Learning photographic global tonal adjustment with a database of input / output image pairs

Year: 2011

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2011.5995332

Authors: Vladimir Bychkovsky, Sylvain Paris, Eric Chan, Fredo Durand

Institutions: MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Adobe Systems (United States)

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2025328853

FWCI: 6.171

Cites: 18

Cited by: 562

Related to: 10