Shift lnvariant Degradation Analysis and Restoration Method for Photograph Degraded by Rectilinear Smear
Author:
Affiliation:
1. Dept. of Electrical and Electronic Engineering, Ritsumeikan University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2009/0/2009_166/_pdf
Reference14 articles.
1. [1] D. Slepian: Restoration of Photographs Blurred by Image Motion, Bell Syst. Tech. J., vol. 46, pp. 2353-2363, 1967.
2. [2] M. M. Sondhi: Image Restoration: The Removal of Spatially Invariant Degradations, Proc. of the IEEE, vol. 60, pp. 842-853, 1972.
3. [3] Katayama: Restoration of Images Degraded by Motion Blur and Noise, IEEE Transactions on Automatic Control, vol. AC-27, no. 5, October 1982.
4. [4] I. M. Rekleities: Optical Flow Recognition from the Power Spectrum of a Single Blurred Image, IEEE International Conference on Image processing(ICIP), 1996.
5. [5] M. Sakano, N. Suetake, and E. Uchino: A PSF Estimation based on Hough Tranform Concerning Gradient Vector for Noisy and Motion Blurred Images, IEICE Trans. Inf. & Syst., vol. E-90D, no. 1, 1 January 2007.
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1. Blind Restoration of Motion Blurred Image by Applying a Non-iterative Algorithm;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2013-05-05
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