Adaptive Delaunay triangulation for attractor image coding
The principle of attractor image coding presented in this paper is based on the theory of IFS (iterated function systems). The algorithm exploits piece-wise similarities between block of different sizes. To improve the algorithms based on regular and square blocks, we propose an adaptive Delaunay triangulation of the image support. The originality of the method is to map the triangles on specific parts of the image in order to have lots of similarities between them.