FACE: Fully Automated Context Enhancement for night-time video sequences

Download
Full text for this resource is not available from the Research Repository.
Export

Ulhaq, Anwaar ORCID: 0000-0002-5145-7276, Yin, Xiaoxia, He, Jing and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2016) FACE: Fully Automated Context Enhancement for night-time video sequences. Journal of Visual Communication and Image Representation, 40 (B). 682 - 693. ISSN 1047-3203

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/33230
DOI 10.1016/j.jvcir.2016.08.008
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords imaging; colour night vision system; infrared sensors; low light visible sensor; VIS; IR chanel; images; video fusion
Citations in Scopus 12 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)