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Proceedings Paper

Efficient regularization parameter estimation based incomplete orthogonalization method
Author(s): Kai Xie
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Paper Abstract

The regularization parameter plays a crucial role in the quality of a restored super-resolution image. In this paper, we propose a method for parametric regularization based on the incomplete orthogonalization method. The method truncates the Arnoldi recurrence. Specifically, an integer k is selected so that it is necessary to keep only the k previous orthogonal vectors for Arnoldi process. The others are not needed in the process and may be discarded. The method can be inexpensively computed by the incomplete orthogonal process. Thus a convenient way for choosing the regularization parameter is presented.

Paper Details

Date Published: 1 December 2009
PDF: 6 pages
Proc. SPIE 7506, 2009 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 75062G (1 December 2009); doi: 10.1117/12.837781
Show Author Affiliations
Kai Xie, Beijing Institute of Graphic Communication (China)


Published in SPIE Proceedings Vol. 7506:
2009 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments
Yongtian Wang; Yunlong Sheng; Kimio Tatsuno, Editor(s)

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