Applications of chaos theory to lossy image compression

The aim of this paper is to show that the theoretical issues presented elsewhere (Perrone, Lecture Notes in Computer Science 880 (1995) 9–52) and relative to a new technique of stabilization of chaotic dynamics can be partially implemented to develop a new efficient prototype for lossy image compression. The results of the comparison between the performances of this prototype and the usual algorithms for image compression will also be discussed. The tests were performed on standard test images of the European Space Agency (E.S.A.). These images were obtained from a Synthetic Aperture Radar (S.A.R.) device mounted on an ERS-1 satellite.