Richardson-Lucy算法，又称Lucy-Richardson去卷积，是一种用于从已知点扩散函数的模糊图像中恢复原始图像的迭代方法。该算法由William Richardson和Leon Lucy独立提出，适用于光学系统导致的图像模糊问题。通过迭代更新图像估计，当迭代收敛时，它达到最大似然解。
Richardson–Lucy deconvolution
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Not to be confused with Modified Richardson iteration.
The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function. It was named after William Richardson and Leon Lucy, who described it independently.[1][2]
Description[edit]
When an image is produced using an optical system and detected using photographic film or a charge coupled device for instance, it is inevitably blurred, with an ideal point source not appearing as a point but being spread out into what is known as the point spread function. Extended sources can be decomposed into the sum of many indi
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