Aiming at the problem that multiplexed Metropolis light transport (MMLT) may not promise coher-ency in path space and does not reuse sub-paths, this paper introduces an improved algorithm. It firstly samples and selects sub-paths to reuse paths. Secondly, it sorts these sub-paths to explore the path coherency in the path space. Finally, it designs a set of weighting strategies to better compute weights of different sampling techniques. Experiments show that the algorithm produces less noisy results under the same conditions.%针对多通路Metropolis光能传递算法(MMLT)不能很好地保证路径样本在路径空间中的连贯性,对子路径的重用率也较低的问题,提出了一种改进算法。通过先采样路径样本再从中选择的方式提高子路径重用率;然后对路径样本进行空间排序,以提高路径空间中的连贯性;最后设计了一套权值策略来决定不同采样方式所占比重。实验结果显示,该算法能够在相同条件下产生噪声更小的结果。
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