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Proceedings Paper

Study of image super-resolution reconstruction algorithm based on Kalman filter movement estimation
Author(s): Hongjiu Tao; Yue Wang; Zude Zhou
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Paper Abstract

In the research of super resolution reconstruction based on a set of images, we put emphases on analyzing the algorithm of super resolution based on multi-frame image or image set, i.e. how to reconstruct super resolution image using several low resolution images and under-sampled images. Discussion on recursively iteration reconstruct super resolution image is carried out, under both cases with noise and without noise. In this paper we bring Kalman filter theory into image super resolution rebuilding algorithm, make use of Kalman filter to go on a movement estimation to sequence image, and present a kind of simplified image super resolution reconstruction algorithm based on recursion iterative movement estimation of Kalman filte, and analyze this method. Then we make use of advanced method to test standard sequence image and acquired sequence image by shooting, and get a good result.

Paper Details

Date Published: 8 February 2005
PDF: 7 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.573936
Show Author Affiliations
Hongjiu Tao, Wuhan Univ. of Technology (China)
Yue Wang, Wuhan Univ. of Technology (China)
Zude Zhou, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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