Abstract
We propose a novel method for image sequence restorations. It is based on the wavelet domain image restoration method proposed by Belge et al. for static images [1]. In this paper, by combining the iteration procedure in the Belge’s method with the renewing process for sequentially given images and by employing Kalman filer for predicting the foreground movement of the images in the wavelet domain, considerable reduction of the computational cost is shown to be achievable. This is verified by computer simulations on artificially degraded images.
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Akiyama, K., Luo, Zw., Onishi, M., Hosoe, S., Taji, K., Uno, Y. (2008). Video Restoration with Motion Prediction Based on the Multiresolution Wavelet Analysis. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_9
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DOI: https://doi.org/10.1007/978-3-540-69162-4_9
Publisher Name: Springer, Berlin, Heidelberg
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