Brush Painting Algorithms

Brush Painting Algorithms Modern image editing applications offer the user a wide range of brushes. With digital brushes a whole new dimension of different brushes has become possible since a digital brush is not limited by the physics of ordinary brushes and paints. At the same time as a digital brush can provide the user with opportunities which are not even to think of using traditional painting a digital brush can only with great difficulty try to simulate the behavior of traditional painting such as for example water color and oil painting. However a lot of work has been done to try to simulate real world brushes in a computer program. Some achievements have been made but these brushes still tend to give an unsatisfying result, be difficult to use and be computationally expensive. The objective of this project has been to investigate the possibilities provided by digital brushes. As a result of this investigation a set of digital brushes will be developed, implemented and optimized. In addition to the technological aspect one important aspect has also been to think about what kind of brushes will be useful and to design a graphical user interface that gives the user access to the developed brushes. In the area of realistic brushes the oil painting brush is worth mentioning. The oil painting brush simulates how the brush not only uniformly applies a single color on the canvas but also smears around the wet paint on the canvas. Blur, sharpen, dodge, burn and smudge are a couple of special effects brushes that have been implemented, all running at interactive frame rates. Blur and sharpen will simply blur or sharpen the area that the brush crosses while smudge will smear out the colors similarity to if a finger were dragged over a painting while the paints are still wet. The dodge and burn tools are taken from traditional photography and will lighten or darken the image. These are the most important achievements among the developed brushes, and together with the more simple standard brushes they provide the user with a large set of opportunities. The project gives 20 Swedish university credits which are equal to 20 weeks full time work. The project has been assigned by Révolte Development AB, a company with focus on image applications based in Stockholm, Sweden. The project supervisor has been Marcus Hoverby from Révolte Development AB and the examiner …