A framework for synthesizing Chinese landscape painting using an image based approach. Our framework involves two stages:

a preprocessing phase, in which a few brush stroke texture primitives (BSTP) are collected from samples of hand-made

Chinese paintings, and the control picture is constructed to provide color ID of mountains, and the on-line phase, in which

the fog image is synthesized and mountains are “drawn” by mapping multiple layers of BSTP guided by the control picture.

In the case of 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

hand-made work than those produced with previous modeling methods.