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Fast video super-resolution via classification

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4 Author(s)
Simonyan, K. ; Graphics&Media Lab., Moscow State Univ., Moscow ; Grishin, S. ; Vatolin, D. ; Popov, D.

In this paper we propose a novel super-resolution algorithm based on motion compensation and edge-directed spatial interpolation succeeded by fusion via pixel classification. Two high-resolution images are constructed, the first by means of motion compensation and the second by means of edge-directed interpolation. The AdaBoost classifier is then used to fuse these images into an high-resolution frame. Experimental results show that the proposed method surpasses well-known resolution enhancement methods while maintaining moderate computational complexity.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008