Expressive Painterly Rendering Through Image Processing
Author(s): Jason Douglas Waltman.
Master Thesis: School of Computing, University of Utah, May,
2004.
[BibTeX] 
Abstract:
In real paintings, a human is in control of every aspect of the painting creation process and, as a result, these works of art are seemingly more valued than their photographic equivalents. The human painter is able not only to document a scene but also to add expressive elements—for example, a stylized abstraction combined with exaggerated brushwork—not possible in a photograph of the same scene. Automatic, computer-generated, photograph-to-painterly rendering techniques have been published now for over a decade. In general, these techniques produce images that lack characteristics found in paintings created by human hands. A new painterly rendering technique is presented which employs digital image processing, computer vision, and emulation of details found in works by painting masters in order to produce images with human expressive characteristics and important details found in real paintings.