Ahmed, Abdalla G. M.Sheng, YunSlingsby, Aidan2025-09-092025-09-092025978-3-03868-293-6https://doi.org/10.2312/cgvc.20251215https://diglib.eg.org/handle/10.2312/cgvc20251215Owen scrambling is a standard randomization technique for common sampling distributions used in quasi-Monte-Carlo applications such as rendering. We extend the recently introduced binary-based ART-Owen scrambling to the base-4 case, covering the full 4! permutations while still maintaining the method's simple and elegant structure. We achieve this by decomposing the permutation space into an affine transformation, enabling compact encoding and efficient processing.Attribution 4.0 International License10.2312/cgvc.202512152 pages