BLIND DECONVOLUTION BY MEANS OF THE RICHARDSON-LUCY ALGORITHM
BLIND DECONVOLUTION BY MEANS OF THE RICHARDSON-LUCY ALGORITHM
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DOI：
10.1364/josaa.12.000058
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发表时间：
1995-01-01
影响因子：
1.9
通讯作者：
WALKER, JG
中科院分区：
文献类型：
--
作者：
FISH, DA;BRINICOMBE, AM;WALKER, JG
提出了一种基于Richardson-Lucy反卷积算法的盲反卷积算法。它的性能在噪声的存在下被发现是上级优于其他盲反卷积算法。结果，并与维纳滤波器的盲反卷积算法的实施所获得的结果进行比较。该算法进一步发展，将函数形式的点扩散函数与未知参数。在存在噪声的情况下，点扩展函数可以以1.0%的误差进行评估，并且可以利用已知点扩展函数以接近反卷积过程的质量来重建对象。
A blind deconvolution algorithm based on the Richardson-Lucy deconvolution algorithm is presented. Its performance in the presence of noise is found to be superior to that of other blind deconvolution algorithms. Results are presented and compared with results obtained from implementation of a Weiner filter blind deconvolution algorithm. The algorithm is developed further to incorporate functional forms of the point-spread function with unknown parameters. In the presence of noise the point-spread function can be evaluated with 1.0% error, and the object can be reconstructed with a quality near that of the deconvolution process with a known point-spread function.