Share Email Print

Proceedings Paper

Multi-limit unsymmetrical MLIBD image restoration algorithm
Author(s): Yang Yang; Yiping Cheng; Zai-wang Chen; Chen Bo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A novel multi-limit unsymmetrical iterative blind deconvolution(MLIBD) algorithm was presented to enhance the performance of adaptive optics image restoration.The algorithm enhances the reliability of iterative blind deconvolution by introducing the bandwidth limit into the frequency domain of point spread(PSF),and adopts the PSF dynamic support region estimation to improve the convergence speed.The unsymmetrical factor is automatically computed to advance its adaptivity.Image deconvolution comparing experiments between Richardson-Lucy IBD and MLIBD were done,and the result indicates that the iteration number is reduced by 22.4% and the peak signal-to-noise ratio is improved by 10.18dB with MLIBD method. The performance of MLIBD algorithm is outstanding in the images restoration the FK5-857 adaptive optics and the double-star adaptive optics.

Paper Details

Date Published: 26 November 2012
PDF: 8 pages
Proc. SPIE 8557, Optical Design and Testing V, 855721 (26 November 2012); doi: 10.1117/12.2000439
Show Author Affiliations
Yang Yang, Information Engineering Univ. (China)
Air Force Airborne Academy (China)
Yiping Cheng, Air Force Airborne Academy (China)
Zai-wang Chen, Air Force Airborne Academy (China)
Chen Bo, Air Force Airborne Academy (China)

Published in SPIE Proceedings Vol. 8557:
Optical Design and Testing V
Yongtian Wang; Chunlei Du; Hong Hua; Kimio Tatsuno; H. Paul Urbach, Editor(s)

© SPIE. Terms of Use
Back to Top