Multi-class inverted stippling

We introduce inverted stippling , a method to mimic an inversion technique used by artists when performing stippling. To this end, we extend Linde-Buzo-Gray (LBG) multi-class LBG (MLBG) with multiple layers. MLBG couples the layers stochastically optimize for per-layer and overall blue-noise properties. propose stipple-based filling generate solid color backgrounds inverting areas. Our experiments demonstrate effectiveness of in terms reducing overlapping intensity accuracy. In addition, showcase dynamic sampling, which is possible due its support temporal coherence.