TY - GEN
T1 - Specular highlight enhancement from video sequences
AU - Prinet, Veronique
AU - Werman, Michael
AU - Lischinski, Dani
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Feature extraction
KW - Image and video processing and enhancement
KW - Image and video representation and rendering
UR - http://www.scopus.com/inward/record.url?scp=84897675775&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738115
DO - 10.1109/ICIP.2013.6738115
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AN - SCOPUS:84897675775
SN - 9781479923410
T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
SP - 558
EP - 562
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013
Y2 - 15 September 2013 through 18 September 2013
ER -