A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution

Yuan Jian-hua; Yin Xue-min; Zou Mou-yan

doi:10.3724/SP.J.1146.2005.00438

Volume 29 Issue 1

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(1): 47-49

Yuan Jian-hua, Yin Xue-min, Zou Mou-yan. A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution[J]. Journal of Electronics & Information Technology, 2007, 29(1): 47-49. doi: 10.3724/SP.J.1146.2005.00438

Citation:

Yuan Jian-hua, Yin Xue-min, Zou Mou-yan. A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution[J]. Journal of Electronics & Information Technology, 2007, 29(1): 47-49. doi: 10.3724/SP.J.1146.2005.00438

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A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution

doi: 10.3724/SP.J.1146.2005.00438

Received Date: 2005-04-18
Rev Recd Date: 2005-07-28
Publish Date: 2007-01-19

Abstract

Abstract

In the research of super-resolution image processing, the precision and speed of the sub-pixel registration are the key factors. It is difficult for the Taylors series expansion method to do in real-time, and the hierarchical block-match method with less levels can achieve only a lower precision. The bicubic curve function method with hierarchical block-match drawn in this paper can not only obtain a higher precision, but also be implemented in real-time.

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References(1)

References

[1] Tsai R Y and Huang T S. Multi-frame image restoration and registration.In Advcnces in Computer Vision and Image Processing, JAI Press, Greenwich.Ct.1984，Vol.1: 317－339. [2] Lucas B D and Kanade T. An iterative image registration technique with an application to stereo vision. Proceedings of the 1981 DARPA Image Understanding Workshop, April, 1981: 121－130. [3] Irani M and Peleg S. Improving resolution by image registration[J].CVGIP: Graphical Models and Image Processing.1991, 53(3):231- [4] Borman S. Topic in multiframe superresolution restoration. [Doctors Thesis], Stanford University, 2004. [5] Heckbert P S. Fundamentals of texture mapping and image warping. [Masters Thesis], University of California, Berkeley, 1989.

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