Nowadays fractal image coding is performed by several methods focused to reduce the number of comparisons. This work describes a simple and fast method of fractal image compression for applications in mobile communications. The method uses a quadtree scheme on multiple levels of image resolution and the fractal coding is applied taking advantage of the multiresolution decomposition. The method uses a simple scheme of blocks classification into each resolution level on a pyramidal decomposition according to size and the intensity variation level of every block. The simplicity and regularity of the method make it suitable to be implemented on programmable logic devices, such as FPGAs, or in custom VLSI integrated circuits. The method can be implemented in parallel, saving up to three orders in the number of necessary operations to codify the image, reducing the asymmetry of the coding time compared with the decoding time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Simple and fast fractal image compression for VLSI circuits


    Contributors:


    Publication date :

    2003-01-01


    Size :

    397007 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Simple and Fast Fractal Image Compression for VLSI Circuits

    Martinez-Ramirez, A. / Diaz-Sanchez, A. / Linares-Aranda, M. et al. | British Library Conference Proceedings | 2003


    Fast Iterative Methods for Fractal Image Compression

    Hamzaoui, R. | British Library Online Contents | 1999


    DCT based simple classification scheme for fractal image compression

    Duh, D. J. / Jeng, J. H. / Chen, S. Y. | British Library Online Contents | 2005


    Fast classification method for fractal image compression [4122-18]

    Truong, T. K. / Jeng, J. H. / SPIE | British Library Conference Proceedings | 2000


    Fast fractal image compression with triangulation wavelets [3458-16]

    Hebert, D. J. / Soundararajan, E. / SPIE | British Library Conference Proceedings | 1998