Scalability and others functionalities such as the region of interest encoding become essential properties of an efficient image coding scheme. Within the framework of lossless compression techniques, S+P and CALIC represent the state-of-the-art. The proposed interleaved S+P algorithm outperforms these method while providing the desired properties. Based on the LAR (locally adaptive resolution) method, an original pyramidal decomposition combined with a DPCM scheme is elaborated. This solution uses the S-transform in such a manner that a refined prediction context is available for each estimation steps. The image coding is done in two main steps, so that the first one supplies a LAR low-resolution image of good visual quality, and the second one allows a lossless reconstruction. The method exploits an implicit context modelling, intrinsic property of our content-based quad-tree like representation.


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    Title :

    Interleaved S+P pyramidal decomposition with refined prediction model


    Contributors:
    Babel, M. (author) / Deforges, O. (author) / Ronsin, J. (author)


    Publication date :

    2005-01-01


    Size :

    259195 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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