Using ANN for high speed iterated function system image compression

Artificial neural networks (ANNs) are widely used on many research fields because of their high speed for execution and low cost for hardware implementation. In the paper, ANNs are used in fractal image compression because most of the well-known methodologies in fractal transformation are rather computational intensive. One of them is the iterated function system (IFS). This algorithm consists of few parameters, the IFS codes, which can be used to generate the IFS attractors but also consume most of the time extracting suitable attractors to represent the target image. In order to solve this problem, ANNs are investigated as a practical alternative approach