Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Patch Based Blind Image Super Resolution
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Super-resolution for synthetic zooming
EURASIP Journal on Applied Signal Processing
A fast adaptive motion estimation algorithm
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a super-resolution algorithm based on image fusion via pixel classification. Two high-resolution images are constructed, the first by means of motion compensation and the second by means of image interpolation. The AdaBoost classifier is then used in the fusion of these images, resulting in an high-resolution frame. Experimental results show that the proposed method outperforms well-known video resolution enhancement methods while maintaining moderate computational complexity.