Research on Adaptive Optics Image Restoration Algorithm Based on Improved Joint Maximum a Posteriori Method

Lijuan ZHANG; Yang LI; Junnan WANG; Ying LIU

doi:10.1007/s13320-017-0445-x

[1] M. Farooq, A. Aslam, B. Hussain, G. Hussain, and M. Ikram, “A comparison of image processing techniques for optical interference fringe analysis,” Photonic Sensors, 2015, 5(4): 304–311.

[2] G. R. Ayers and J. C. Dainty, “Iterative blind deconvolution method and its applications,” Optics Letters, 1998, 13(7): 547–549.

[3] Y. Tian, C. H. Rao, and K. Wei, “Adaptive optics image restoration based on frame selection and multi-frame blind deconvolution,” Chinese Astronomy and Astrophysics, 2009, 33(2): 223–230.

[4] L. J. Zhang, J. H. Yang, S. U. Wei, C. H. Jiang, X. K. Wang, and F. Tan, “Multi-frame iteration blind deconvolution algorithm based on improved expectation maximization for adaptive optics image restoration,” Acta Armamentarii, 2014, 35(11): 1765–1773.

[5] K. H. Yap and L. Guan, “Adaptive image restoration based on hierarchical neural network,” Optical Engineering, 2000, 39(7): 1877–1890.

[6] C. H. Rao, F. Shen, and W. H. Jiang, “Analysis of closed-loop wavefront residual error of adaptive optical system using the method of power spectrum,” Acta Optica Sinica, 2000, 20(1): 68–73.

[7] B. Chen, “The theory and algorithms of adaptive optics image restoration,” Ph.D. dissertation, Information Engineering University, Zhengzhou, China, 2008.

[8] B. Hussain, T. Muhammad, M. Rehan, H. Aman, M. Aslam, M. Ikram, et al., “Fast processing of optical fringe movement in displacement sensors without using an ADC,” Photonic Sensors, 2013, 3(3): 241–245.

[9] D. M. Li, Z. B. Su, G. Zhu, W. Su, and L. J. Zhang, “Research on cross-correlative blur length estimation algorithm in motion blur image,” Journal of Advanced Computational Intelligence and Intelligent Informatics, 2016, 1(20): 155–162.

[10] X. J. Tang, “Regularization method for image restoration,” Ph.D. dissertation, Huazhong University, Wuhan, China, 2006.

[11] W. Allan, USC-SIPI Image Database: Version 4, http://sipi.usc.edu/database/ (accessed on 10 May 2017).

[12] F. Tsumuraya, N. Miura, and N. Baba, “Iterative blind deconvolution method using Lucy’s algorithm,” Astronomy & Astrophysics, 1994, 282(2): 699–706.

[13] S. J. Zhang, J. S. Li, Y. W. Yang, and Z. M. Zhang, “Blur identification of turbulence-degraded IR images,” Optics and Precision Engineering, 2013, 21(2): 514–520.