  Vectorization of images is a key concern uniting computer graphics and
computer vision communities. In this paper we are presenting a novel idea for
efficient, customizable vectorization of raster images, based on Catmull Rom
spline fitting. The algorithm maintains a good balance between photo-realism
and photo abstraction, and hence is applicable to applications with artistic
concerns or applications where less information loss is crucial. The resulting
algorithm is fast, parallelizable and can satisfy general soft realtime
requirements. Moreover, the smoothness of the vectorized images aesthetically
outperforms outputs of many polygon-based methods
