Fractal image compression using genetic algorithm with ranking select mechanism

The demand for images in video sequences and computer animation has increased drastically over the years. This gives attention on an important issue of compression, resulting into reduction in cost of data storage and transmission. For still image compression JPEG is used world -wide. But alternative methods are also being explored; Fractal image compression is one of them. It is based on the self-similarity property to find out the best match within the image itself. This property is used to generate a fractal code. In this paper, the new approach for fractal image compression using genetic algorithm with ranking select mechanism is proposed. This proposed algorithm is applied on fractal as well as non-fractal images and the experimental result shows that the encoding time for both types of images is greatly reduced while maintaining their quality intact.