Content area
Abstract
Data compression-the process of encoding data to reduce their storage requirements-increases the effctive capacity of both storage media and communication channels.Today,data compression techniques are being applied with striking succss in such diverse areas as written text, computer code, scientific data, graphics, maps, speech and video, among others. While JPEG is becoming the industry standard for image compression technology, there is ongoing research in alternative methods. Fractal image compression is one of these new developments. Since the conception of fractal image compression by Bansley around 1987, the reasch on this topic has experenced a rapid growth. There are two types of mothod. The first is devoted to works using the basic IFS method; the second coside local iterated funcion systems. This article is concerntrated on the second aspect. And mainly discuss three subjects as following: (a) the partitioning of the image into ranges of the encoding step; (b) the choice of the domain blocks; (c) classifiction methods for the complexity reduction of the encoding step.