@inproceedings{2447ca084be245b9880b3e2c36f9afa3,
title = "Specular highlight enhancement from video sequences",
abstract = "We propose a novel method for detecting and enhancing specular highlights from a video sequence, thereby obtaining a better visual perception of the specularity. To this end, we first generate a specularity map, defined over the space-time domain, by leveraging information provided by the temporal acquisition. We then amplify the highlights in each video frame to create the visual sensation of high dynamic range data. Results are illustrated on several videos taken under different acquisition scenarios.",
keywords = "Feature extraction, Image and video processing and enhancement, Image and video representation and rendering",
author = "Veronique Prinet and Michael Werman and Dani Lischinski",
year = "2013",
doi = "10.1109/ICIP.2013.6738115",
language = "American English",
isbn = "9781479923410",
series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "558--562",
booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
address = "United States",
note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",
}