Reconstruction of a super-resolved image from multiple frames and extraction of matte are two popular topics that have been solved independently. In this paper, we advocate a unified framework that assimilates matting within the super-resolution model. We show that joint estimation is advantageous, as super-resolved edge information helps in obtaining a sharp matte, while the matte in turn aids in resolving fine details. We propose a multiframe approach to increase the spatial resolution of the matte, foreground, and background. This is validated extensively on examples from standard matting datasets.
© 2013 Optical Society of America
Original Manuscript: January 15, 2013
Revised Manuscript: April 18, 2013
Manuscript Accepted: May 13, 2013
Published: July 15, 2013
Vol. 8, Iss. 9 Virtual Journal for Biomedical Optics
Sahana M. Prabhu and A. N. Rajagopalan, "Unified multiframe super-resolution of matte, foreground, and background," J. Opt. Soc. Am. A 30, 1524-1534 (2013)