2 research outputs found

    The M-Term Pursuit for Image Representation and Progressive Compression

    Get PDF
    This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable coding. The MTP algorithm belongs to the framework of the matching pursuit (MP); it expands the image into a linear combination of atoms, selected from a large collection of spatial atoms. The MTP relies on the concept of dictionary partitioning, i.e., as splitting the dictionary into LL disjoint sub-dictionaries, each carrying some specific information. Then, it iteratively finds a KK-term approximation, by selecting MM atoms at a time, where $
    corecore