Consequences of stratified sampling in graphics

central limit theorem predicts a variance of the mean of O(N -1). Stratified sampling can further reduce the variance of the me This paper investigates how and why stratification effects t convergence to mean value of image pixels, which are obser to converge from N-2 to N-1, with a rate of about N -3/2 in pixels containing edges. This is consistent with results from the the of discrepancy. The result is generalized to higher dimensio as encountered with distributed ray tracing or form-fact computation.