Specular Highlight Enhancement from Video Sequences

Véronique Prinet, Michael Werman, Dani Lischinski

Abstract: We propose a novel method for detecting and enhancing specular highlights from a video sequence, thereby obtaining abetter 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.