Restoration algorithm of aero-optical degraded images using nonlinear regularization optimization

Hanyu Hong

doi:10.1117/12.751726

14 November 2007 Restoration algorithm of aero-optical degraded images using nonlinear regularization optimization

Hanyu Hong

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892O (2007) https://doi.org/10.1117/12.751726
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Hanyu Hong "Restoration algorithm of aero-optical degraded images using nonlinear regularization optimization", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892O (14 November 2007); https://doi.org/10.1117/12.751726

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