Volumetric medical image compression using 3D listless embedded block partitioning View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12-20

AUTHORS

Ranjan K. Senapati, P. M. K Prasad, Gandharba Swain, T. N. Shankar

ABSTRACT

This paper presents a listless variant of a modified three-dimensional (3D)-block coding algorithm suitable for medical image compression. A higher degree of correlation is achieved by using a 3D hybrid transform. The 3D hybrid transform is performed by a wavelet transform in the spatial dimension and a Karhunen–Loueve transform in the spectral dimension. The 3D transformed coefficients are arranged in a one-dimensional (1D) fashion, as in the hierarchical nature of the wavelet-coefficient distribution strategy. A novel listless block coding algorithm is applied to the mapped 1D coefficients which encode in an ordered-bit-plane fashion. The algorithm originates from the most significant bit plane and terminates at the least significant bit plane to generate an embedded bit stream, as in 3D-SPIHT. The proposed algorithm is called 3D hierarchical listless block (3D-HLCK), which exhibits better compression performance than that exhibited by 3D-SPIHT. Further, it is highly competitive with some of the state-of-the-art 3D wavelet coders for a wide range of bit rates for magnetic resonance, digital imaging and communication in medicine and angiogram images. 3D-HLCK provides rate and resolution scalability similar to those provided by 3D-SPIHT and 3D-SPECK. In addition, a significant memory reduction is achieved owing to the listless nature of 3D-HLCK. More... »

PAGES

2100

References to SciGraph publications

  • 1998-05. Factoring wavelet transforms into lifting steps in JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40064-016-3784-y

    DOI

    http://dx.doi.org/10.1186/s40064-016-3784-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018094326

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28053830


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