BALANCING ORDER AND CHAOS IN IMAGE GENERATION

We introduce new techniques to generate real-world images. Many of the natural images exhibit a hierarchical structure and a balanced combin ation of both order and chaos. We show how a controlled use of determi nistic chaos yields a powerful method to concisely describe and to eff iciently generate complex realistic images. The basic technique is the use of Mutually Recursive Function Systems (MRFS) possibly with addit ional control on the order of computations. Then we show that, surpris ingly, regular sets of control sequences are convenient but not essent ial. Some examples are presented illustrating the power of the techniq ue.