Research Of Image Encoding Based On Fractal Technology

In recent years, as a new emerging mathematical theory, Fractal Theory is developing quickly. Fractal Image Compression Coding Technology, based on the Fractal Theory, and due to its advantages such as high compression ratio, compressed image has nothing to do with the image resolution and fast decoding speed, etc., is more and more popular among researchers.Traditional Fractal Compression Technology is working in this way; first divided the image into parent and sub-blocks of different sizes, then the sub-block with different affine transformation, will be matched with the most suitable parent block by searching in the entire region. As the sub-block in general will take eight kinds of transformation, so the matching process will take a lot of time; and this shortcoming of encoding a long time directly impeding the development of the technology into a high-efficiency one. This thesis is a study of Fractal Compression Technology, after the detailed description of the Fractal Theory and Fractal Coding; and targeted learning the applications of wavelet transform in image compression, with combining the advantages of the two, proposed a improved algorithm of hybrid coding, so that considerably reduced the image coding time and improve the compression efficiency.