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Proceedings Paper

Parameter estimation of rotation blurred images based on LOG-polar transform
Author(s): Ruolan Hu; Xiao Zhou; Xingang Mou; Guilin Zhang
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Paper Abstract

The estimation of the blurred parameters is the key to recover the blurred image. In the rotational motion blurred image, the track of blurred is arc and the blurred is not identical in the whole image space. The method based on LOG-polar transform introduced by this paper firstly transform the blurred track from arc to linear, and then estimate the parameter of the rotational motion image with the method based on self-correlation. The experiments showed that the proposal method was effective to estimate the parameter with good precision.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951M (30 October 2009); doi: 10.1117/12.832851
Show Author Affiliations
Ruolan Hu, Huazhong Univ. of Science and Technology (China)
Xiao Zhou, Huazhong Univ. of Science and Technology (China)
Xingang Mou, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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