CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12558 > Article
Paper
20 January 2023 Research on optimization techniques of multi-frame blind deconvolution image restoration algorithm
Shanlin Peng, Jin Liu, Zhilei Ren, Yonghui Liang
Author Affiliations +
Proceedings Volume 12558, AOPC 2022: Optical Spectroscopy and Imaging; 125580I (2023) https://doi.org/10.1117/12.2651789
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China
Abstract
Space object images obtained through ground-based telescopes tend to be heavily blurred and degraded by the atmospheric turbulence as well as detection noise and aberrations of optical systems. Multi-Frame Blind Deconvolution (MFBD) is currently the mainstream image restoration algorithm for images degraded by the atmospheric turbulence. MFBD jointly estimates the original image of object and the corresponding point spread functions (PSFs) from a sequence of short-exposure images. From our experience, there are still a lot of space for the improvement of the traditional MFBD algorithm. The mixed-Gaussian noise model that accounts for both the photonic and detector noise is used to replace the stationary Gaussian noise model. The L2-L1 (quadratic-linear) regularization method is used to replace originally used TV regularization method or Tikhonov regularization method. The phase annealing method is used to improve the quality of initial phase estimation and the multi-round iterative MFBD algorithm is preliminarily implemented. The simulation results demonstrate that the restored images obtained by the multi-round iterative MFBD algorithm often have better quality than that restored by traditional MFBD.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Shanlin Peng, Jin Liu, Zhilei Ren, and Yonghui Liang "Research on optimization techniques of multi-frame blind deconvolution image restoration algorithm", Proc. SPIE 12558, AOPC 2022: Optical Spectroscopy and Imaging, 125580I (20 January 2023); https://doi.org/10.1117/12.2651789
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Point spread functions
Image restoration
Annealing
Data modeling
Image processing
Image quality
Interference (communication)
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top