Share Email Print
cover

Proceedings Paper

Improved method of parameters identification and restoration of motion blurred image
Author(s): Gui-li Xu; Dong-mei Zhu; Biao Wang; Yue-hua Cheng; Jing-dong Wang; Yu-peng Tian
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, dealing with the original image as an isotropy one rank Markov process, we use present weighted average method based on directional derivation to identify the direction of motion blurred image. The identification results show that the direction of motion blurred is not only influenced by the direction of motion blurred, but also influenced by the object shape. So we give a new way to identify the motion blur direction from the blurred image by improved direction derivation method. Under the consideration that one object can't occupy four corners of the whole image, the new idea of identifying four corners of the image instead of the whole picture is proposed. It can identify any direction, from -90° to 90°, with high precision and high stabilization. The experimental results show that the motion blurred direction can be identified effectively by the new method. The mean square error is reduced to 68.55% compared with the old method. The blurred image can be rotated to a horizontal axis according to the motion blurred direction. For the pixels in blurred images have high correlation with the neighbors, we use derivation and correlation methods to estimate the blur parameters. At last we complete the restoration of motion blurred image by Wiener filters.

Paper Details

Date Published: 5 August 2009
PDF: 8 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73831R (5 August 2009); doi: 10.1117/12.835092
Show Author Affiliations
Gui-li Xu, Nanjing Univ. of Aeronautics and Astronautics (China)
Dong-mei Zhu, Nanjing Univ. of Aeronautics and Astronautics (China)
Biao Wang, Nanjing Univ. of Aeronautics and Astronautics (China)
Yue-hua Cheng, Nanjing Univ. of Aeronautics and Astronautics (China)
Jing-dong Wang, Nanjing Univ. of Aeronautics and Astronautics (China)
Yu-peng Tian, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications

© SPIE. Terms of Use
Back to Top