Sampling analysis using correlations for monte carlo rendering

Point patterns and stochastic structures lie at the heart of Monte Carlo based numerical integration schemes. Physically based rendering algorithms have largely benefited from these Monte Carlo based schemes that inherently solve very high dimensional light transport integrals. However, due to the underlying stochastic nature of the samples, the resultant images are corrupted with noise (unstructured aliasing or variance). This also results in...