Point-spread function reconstruction in ground-based astronomy by l 1-lp model
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要In ground-based astronomy, images of objects in outer space are acquired via ground-based telescopes. However, the imaging system is generally interfered by atmospheric turbulence, and hence images so acquired are blurred with unknown point-spread function (PSF). To restore the observed images, the wavefront of light at the telescope's aperture is utilized to derive the PSF. A model with the Tikhonov regularization has been proposed to find the high-resolution phase gradients by solving a least-squares system. Here we propose the l1-lp (p = 1, 2) model for reconstructing the phase gradients. This model can provide sharper edges in the gradients while removing noise. The minimization models can easily be solved by the Douglas-Rachford alternating direction method of a multiplier, and the convergence rate is readily established. Numerical results are given to illustrate that the model can give better phase gradients and hence a more accurate PSF. As a result, the restored images are much more accurate when compared to the traditional Tikhonov regularization model. © 2012 Optical Society of America 1084-7529/12/112263-09$15.00/0.
著者Chan R.H., Yuan X., Zhang W.
期刊名稱Journal of the Optical Society of America A
出版年份2012
月份1
日期1
卷號29
期次11
出版社Optical Society of America
出版地United States
頁次2263 - 2271
國際標準期刊號1084-7529
電子國際標準期刊號1520-8532
語言英式英語

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