Validity of Definition Assessments for Motion Blur Identification

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Abstract:

In this paper, based on the series of test images which are synthesized through the linear motion blur model with continue variable parameters, we define the sensitivity of image definition assessments. Experimental data are presented that the validity of definition assessments for motion blur identification closely relates to the sensitivity of definition assessments. The higher the sensitivity is, the better the validity of definition assessments for identification performs.

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Key Engineering Materials (Volumes 474-476)

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1578-1582

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April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.L. Lagendijk and J. Biemond: IEEE Proc. of ICASSP. Vol. 4 (1991), pp.2497-2500.

Google Scholar

[2] M. Ben-Ezra and S.K. Nayar: IEEE Transaction on PAMI. Vol. 26 (2004), pp.689-698.

Google Scholar

[3] M.Y. Zou: Deconvolution and Signal Recovery (National Defense Industry Publications, China 2001).

Google Scholar

[4] J.P. He, K. Gao and G.Q. Ni: Opto-Electronic Engineering. Vol. 36 (2009), pp.97-102.

Google Scholar

[5] L.D. Cai: IEEE Proc. of ICIG. (2004), pp.6-9.

Google Scholar

[6] Y.F. Li, N. N Chen and J.C. Zhang: Application Research of Computers. Vol. 27 (2010), pp.1534-1536.

Google Scholar

[7] Y. Wang, Y.H. Tan and J.W. Tian: Journal of Wuhan University of Technology. Vol. 29 (2007), pp.124-126.

Google Scholar

[8] A. Buerkle, F. Schmoeckel, M. Kiefer and A. Bala P.: SPIE Conference on Microrobotics and Microassembly. (2001), pp.187-198.

Google Scholar