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How to improve pixel-based fractal image coding with adaptive partitions

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Abstract

In this paper, we summarize adaptive partitioning methods traditionally used for pixel-based fractal image compression (pixel-based in opposition with hybrid methods). We discuss their properties in terms of flexibility, computing and encoding complexities, and we describe their use in a coding algorithm. In a second part, we propose a new polygonal partition which is fully flexible, and gives a better rate-distortion curve, in comparison with results based on adaptive triangulations. We describe a simple approach to compress images, based on unconstrained polygons and contractive affine mappings.

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© 1997 Springer-Verlag London Limited

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Davoine, F., Robert, G., Chassery, JM. (1997). How to improve pixel-based fractal image coding with adaptive partitions. In: Lévy Véhel, J., Lutton, E., Tricot, C. (eds) Fractals in Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-0995-2_22

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  • DOI: https://doi.org/10.1007/978-1-4471-0995-2_22

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1253-2

  • Online ISBN: 978-1-4471-0995-2

  • eBook Packages: Springer Book Archive

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