Fractals everywhere
Fractal image compression
Fractal image compression: theory and application
Fractal image compression: theory and application
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
A review of the fractal image coding literature
IEEE Transactions on Image Processing
Fractal image coding in hexagonal grid images
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Grey video compression methods using fractals
International Journal of Computer Mathematics - Celebrating the Life of David J. Evans
Comparison of image conversions between square structure and hexagonal structure
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image by fractals and each of which is the fixed point of an Iterated Function System (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an impressive compression ratio 10000:1 can be achieved. The application of fractal image compression presented in this paper is based on a novel image structure, Spiral Architecture, which has hexagonal instead of square pixels as the basic element. In the paper evidence would suggest that introducing Spiral Architecture into fractal image compression will improve the compression performance in compression ratio with little suffering in image quality. There are also much research could be done in this area to further improve the results.