Astronomical image restoration using variational Bayesian blind deconvolution

作者：Shi, Xiaoping; Guo, Rui^*; Zhu, Yi; Wang, Zicai

来源：Journal of Systems Engineering and Electronics, 2017, 28(6): 1236-1247.

DOI：10.21629/JSEE.2017.06.21

• blind deconvolution
• variational Bayesian
• model combination
• astronomical image processing

An algorithm is presented for image prior combinations based blind deconvolution and applied to astronomical images. Using a hierarchical Bayesian framework, the unknown original image and all required algorithmic parameters are estimated simultaneously. Through utilization of variational Bayesian analysis, approximations of the posterior distributions on each unknown are obtained by minimizing the Kullback-Leibler (KL) distance, thus providing uncertainties of the estimates during the restoration process. Experimental results on both synthetic images and real astronomical images demonstrate that the proposed approaches compare favorably to other state-of-the-art reconstruction methods.

• 出版日期2017-12
• 单位哈尔滨工业大学