[1]WANG Wei,ZHENG Jinjin,LIU Xing,et al.Estimation of blur parameters in image restoration[J].CAAI Transactions on Intelligent Systems,2012,7(4):315-320.
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Estimation of blur parameters in image restoration

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 4 Page number: 315-320 Column: 学术论文—智能系统 Public date: 2012-08-25
Title:
Estimation of blur parameters in image restoration
Author(s):
WANG Wei1;  ZHENG Jinjin1;  LIU Xing1;  ZHOU Hongjun2;  SHEN Lianguan1
1.Department of Precision Machinary and Precision Instrumentation， University of Science and Technology of China， Hefei 230027, China；
2.National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China
Keywords:
motion blur;  Hough transformparameter curve;  center fitting;  polar transformation
CLC:
TP18
DOI:
-
Abstract:
The image restoration technique is an important way to improve the quality of images, especially in flight photography and machine vision. In this paper, the mathematic principle was analyzed first, and then different deblurring methods were employed correspondingly for each motion condition; specifically, the type of motion blur was judged. For linear motion blur, both the Hough transform and errorparameter were taken to estimate parameters. Furthermore, for rotational motion blur, the curvefitting and polar transform were combined to estimate degraded parameters. Both were followed by Wiener filtering to recover images and improve image vision quality. The proposed adaptive algorithm was used to calculate the linear motion blur parameter (30,70°) and rotational motion blur parameter ((128,128), 20°). The results show that the algorithm can estimate blur parameters accurately. Compared with traditional handling, this proposed method has the advantages of high precision, robustness, and speed.
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