Image-based synthesis of Chinese landscape painting

This paper describes a new framework for synthesizing Chinese landscape painting using an image-based approach. The framework involves two stages: a preprocessing phase, in which a few brush stroke texture primitivities (BSTP) are collected from samples of hand-made Chinese paintings, and the control picture is constructed to provide color IDs of mountains, and the on-line phases, in which the fog image is synthesized and mountains are “drawn” by mapping multiple layers of BSTP guided by the control picture. When more complex shading is needed, the shading picture is constructed and used during the BSTP mapping phase. Finally, the synthesized Chinese landscape paintings of a variety of styles are given and they look more close to the handmade work than those produced with previous modeling methods.