Abstract
We propose a method for generating pointillistic style images from input image considering the features of Seurat's pointillism. Georges-Pierre Seurat is a pioneer and prime exponent of neo-impressionist. He established a technique called pointillism based on scientific color theory. There are three important features of Seurat's pointillism: optical mixture, complementary color contrast and halo effect. The most important feature is the optical mixture. To implement the optical mixture faithfully, we present a pointillistic halftoning method for color halftoning on random dots by utilizing a spatial data structure of boundary sampling algorithm. In addition, we implement complementary color contrast and halo effect according to actual Seurat's painting steps.
