ENHANCING FAST FRACTAL IMAGE COMPRESSION USING ENTROPHY

ENHANCING FAST FRACTAL IMAGE COMPRESSION USING ENTROPHY

       ABSTRACT

                        Fractal Image Compression has generated much interest due to its promise of high compression ratios at good decompression quality and it enjoys the advantage of very fast decompression.

                         Another advantage of fractal image compression is its multi-resolution property, i.e. an image can be decoded at higher or lower resolutions than the original, and it is possible to “zoom-in” on sections of the image. These properties made it a very attractive method for applications in multimedia.

                        Fractal compression algorithm divides the image into regions or domains and all the domains in domain pools are used in the compression process. This project includes entropy method to reduce the encoding time of this technique by reducing the size of the domain pool based on the Entropy value of each domain block.

                        This project performs entropy based image compression which gives some desirable properties like resolution independence, fast decoding, and very competitive rate-distortion curves.