Prabhu SM, Rajagopalan AN. Unified multiframe super-resolution of matte, foreground, and background.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2013;
30:1524-1534. [PMID:
24323210 DOI:
10.1364/josaa.30.001524]
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Abstract
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.
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