Abstract
In fractal image coding, it is actually impossible to find the optimal IFS parameters, which provide the highest quality reconstructed image, by minimizing the error in the reconstructed image because of heavy computation. Hence, most of the fractal image coding determines the suitable IFS parameters by minimizing the error in the collage image instead of the reconstructed image in short time. However, these obtained IFS parameters do not necessarily provide a high-quality reconstructed image whose error is small. Therefore, in order to obtain the high-quality reconstructed image, we have before proposed a fractal image coding method which can find the optimal IFS parameters in low computational costs by using a genetic algorithm and simulated annealing. In this paper, to achieve further reduction in its computational costs, our previous method is improved by adopting a new procedure.
