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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
By
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011

Multi-frame super-resolution reconstruction aims to fuse several low resolution images into one image with high optical resolution. In this paper, a new regularization-based multi-frame image super-resolution algorithm is presented. Utilizing the gradient directional information, the proposed algorithm uses the gradient vector flow to measure the gradient consistency between the high-resolution image and low-resolution images. Experiment results show that the proposed algorithm achieves better performance than other multi-frame image super-resolution methods.

Abstract
Key Words
1 Introduction
2 Super Resolution Based on Gradient Vector Flow
3 The Implementation of the Proposed Algorithm
4 Experiment Results
5 Conclusions
Acknowledge
References
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