
Proceedings Paper
Multiframe image and video super-resolution algorithm with inaccurate motion registration errors rejectionFormat | Member Price | Non-Member Price |
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Paper Abstract
Super-resolution (SR) is a technique to obtain a higher resolution image (frame) by fusing multiple low-resolution (LR)
images (frames) of the same scene. In a typical super-resolution algorithm, image registration is one of the most affective
steps. The diffculty of this step results in the fact that most of the existing SR algorithms can not cope with local motions
because image registration in general assumes global motion. Moreover, modeling SR noise including image registration
error has great influence on the performance of the SR algorithms. In this paper, we report that Laplacian distribution
assumption is good selection for global and slow motions that can be easily registered, while for fast motion sequences
that contain multi-moving objects, Gaussian distribution is better for error modeling. Based on these results, we propose
a cost function with weighted L2-norm considering the SR noise model where the weights are generated from the error
of registration and penalize parts that are inaccurately registered. These weights serve to reject the outlier image regions.
Both the objective and subjective results demonstrate that the proposed algorithm gives better results for slow and fast
motion sequences.
Paper Details
Date Published: 28 January 2008
PDF: 9 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682222 (28 January 2008); doi: 10.1117/12.768747
Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)
PDF: 9 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682222 (28 January 2008); doi: 10.1117/12.768747
Show Author Affiliations
Osama A. Omer, Tokyo Univ. of Agriculture and Technology (Japan)
Toshihisa Tanaka, Tokyo Univ. of Agriculture and Technology (Japan)
Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)
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