Demenikov Mads, Harvey Andrew R
Heriot Watt University, Imaging Concepts Group, School of Engineering and Physical Sciences, Edinburgh, EH14 4AS, Scotland, UK.
Opt Express. 2010 Aug 16;18(17):18035-40. doi: 10.1364/OE.18.018035.
Hybrid imaging systems employing cubic phase modulation in the pupil-plane enable significantly increased depth of field, but artifacts in the recovered images are a major problem. We present a parametric blind-deconvolution algorithm, based on minimization of the high-frequency content of the restored image that enables recovery of artifact-free images for a wide range of defocus. We show that the algorithm enables robust matching of the image recovery kernel with the optical point-spread function to enable, for the first time, optimally low noise levels in recovered images.
在光瞳平面采用立方相位调制的混合成像系统能够显著增加景深，但恢复图像中的伪像是一个主要问题。我们提出了一种参数化盲反卷积算法，该算法基于最小化恢复图像的高频内容，能够在大范围离焦情况下恢复无伪像的图像。我们表明，该算法能够使图像恢复核与光学点扩散函数实现稳健匹配，从而首次在恢复图像中实现最优的低噪声水平。
