Performance comparison of optimization algorithms for multi-frame blind deconvolution

Wentao Li; Jin Liu; Huizhe Yang; Zongxu Chen; Xuewen Liu; Yonghui Liang

doi:10.1117/12.3018761

30 April 2024 Performance comparison of optimization algorithms for multi-frame blind deconvolution

Wentao Li, Jin Liu, Huizhe Yang, Zongxu Chen, Xuewen Liu, Yonghui Liang

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 1315717 (2024) https://doi.org/10.1117/12.3018761
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

In order to improve the performance of multi-frame blind deconvolution algorithm, the analysis was conducted on the image restoration quality and convergence rate of the multi-frame blind deconvolution algorithm using Conjugate Gradient + Brent, Conjugate Gradient + Dbrent, Conjugate Gradient + Macopt, and L-BFGS + Wolfe combination optimization algorithms. The mathematical principles of above optimization algorithms were elaborated in detail, and they were introduced into the multi-frame blind deconvolution algorithm to achieve high quality restored images. Theoretical and experimental results indicate that the L-BFGS + Wolfe combination algorithm has the fastest convergence rate, but the restoration quality is lower compared to the other combination algorithms; Compared with the other combination algorithms, the Conjugate Gradient + Brent/Dbrent combination algorithm can obtain higher quality restored images, but its convergence rate is slower; The convergence rate and restoring quality of the Conjugate Gradient +Macopt combination algorithm are between L-BFGS + Wolfe and Conjugate Gradient + Brent/Dbrent.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wentao Li, Jin Liu, Huizhe Yang, Zongxu Chen, Xuewen Liu, and Yonghui Liang "Performance comparison of optimization algorithms for multi-frame blind deconvolution", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 1315717 (30 April 2024); https://doi.org/10.1117/12.3018761

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