逆光学成像中的概率正则化
Probabilistic Regularization in Inverse Optical Imaging
摘要：
研究了空间非相干照明下的目标复原问题。通过概率方法得到了反问题的正则化解，并给出了基于噪声数据统计分析的数值算法。特别强调的是放在积极性约束的问题，这是纳入概率正则化的解决方案，通过二次规划技术。数值例子说明了算法的主要步骤。
英文摘要：
The problem of object restoration in the case of spatially incoherent illumination is considered. A regularized solution to the inverse problem is obtained through a probabilistic approach, and a numerical algorithm based on the statistical analysis of the noisy data is presented. Particular emphasis is placed on the question of the positivity constraint, which is incorporated into the probabilistically regularized solution by means of a quadratic programming technique. Numerical examples illustrating the main steps of the algorithm are also given.
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