Study of image super-resolution reconstruction algorithm based on Kalman filter movement estimation

Hongjiu Tao; Yue Wang; Zude Zhou

doi:10.1117/12.573936

8 February 2005 Study of image super-resolution reconstruction algorithm based on Kalman filter movement estimation

Hongjiu Tao, Yue Wang, Zude Zhou

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.573936
Event: Photonics Asia, 2004, Beijing, China

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.

Citation Download Citation

Hongjiu Tao, Yue Wang, and Zude Zhou "Study of image super-resolution reconstruction algorithm based on Kalman filter movement estimation", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.573936

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