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Proceedings Paper

Restoration algorithm of aero-optical degraded images using nonlinear regularization optimization
Author(s): Hanyu Hong
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Paper Abstract

A nonlinear regularization method is presented for the restoration of aero-optical degraded images, in which two frames of short-exposure images are used to construct a series of equations to estimate the discrete values of the stochastic turbulent point spread functions (PSF). In order to overcome the interference of noise, an optimization algorithm to estimate the PSF values based on nonlinear regularizations in which a priori knowledge of the PSF values being non-negative and spatial smoothing is incorporated into the process of estimation is proposed. A series of experiments have been performed to test the proposed algorithm, which show that the proposed nonlinear regularization optimization method is advanced and effective.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892O (14 November 2007); doi: 10.1117/12.751726
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

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