Title :
Specular highlight enhancement from video sequences
Author :
Prinet, V. ; Werman, Michael ; Lischinski, Dani
Author_Institution :
Hebrew Univ. of Jerusalem, Jerusalem, Israel
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 :
image enhancement; image sensors; image sequences; visual perception; space-time domain; specular highlight enhancement; temporal acquisition; video detection; video enhancement; video sequence; visual perception; Cameras; Dynamic range; Equations; Image color analysis; Light sources; Mathematical model; Video sequences; Feature extraction; Image and video processing and enhancement; Image and video representation and rendering;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738115