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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    Titel :

    Interleaved S+P pyramidal decomposition with refined prediction model


    Beteiligte:
    Babel, M. (Autor:in) / Deforges, O. (Autor:in) / Ronsin, J. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    259195 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch