Using artificial neural network for the calculation of iterated function system codes

Iterated function system (IFS) is one of the most useful methodologies in fractal transformation. The collage theorem states that image reconstruction as well image compression can be performed using IFS, but the main disadvantage of this algorithm is that it is computationally intensive during extracting suitable attractors to represent the target image. In this paper, an artificial neural network is investigated as an alternative tool for IFS attractors calculation to extract the corresponding image segment