5 March 2018 A MAP blind image deconvolution algorithm with bandwidth over-constrained
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Proceedings Volume 10710, Young Scientists Forum 2017; 107101I (2018) https://doi.org/10.1117/12.2317522
Event: Young Scientists Forum 2017, 2017, Shanghai, China
Abstract
We demonstrate a maximum a posteriori (MAP) blind image deconvolution algorithm with bandwidth over-constrained and total variation (TV) regularization to recover a clear image from the AO corrected images. The point spread functions (PSFs) are estimated by bandwidth limited less than the cutoff frequency of the optical system. Our algorithm performs well in avoiding noise magnification. The performance is demonstrated on simulated data.
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Zhilei Ren, Jin Liu, Yonghui Liang, Yulong He, "A MAP blind image deconvolution algorithm with bandwidth over-constrained ", Proc. SPIE 10710, Young Scientists Forum 2017, 107101I (5 March 2018); doi: 10.1117/12.2317522; https://doi.org/10.1117/12.2317522
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