I uploaded a small illustration for my example and to illustrate the worst possible scenario for box filtering. I made the following assumptions for the worst case:
1. Despite normally random distribution all pixels are sampled at the right side, which would be even possible, but very seldom. 2. For the top left grid i made the assumption that every odd sample would return 1 and anything else 0, also possible and seldom. It also illustrates how the image would look in Cycles for this case. 3. For the bottom right grid i used area averaging, despite same odd sampling situation. The implication of this sketch is, that the noise for 1 pass would not be reduced by Cycles. But if we would average the samples like in the bottom left illustration it would be divided by a factor of infinity, resulting in 0 for this special case and in factor 2 in average for a truly random distribution, since a sample would affect 2 pixels at a time in average. I i had chosen the grid intersections, to make it even worse, then this would be even a factor of 4, since four samples would contribute to a single pixel. http://www.pasteall.org/pic/39642 Greetings Tobias _______________________________________________ Bf-committers mailing list [email protected] http://lists.blender.org/mailman/listinfo/bf-committers
