Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression

Authors

  • Leila Belhadef
    Affiliation

    Laboratoire SIMPA, Faculté des Mathématiques et d'Informatique, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, USTO-MB, P. O. B. 1505, El Mnaouer, Oran 31000, Algeria

  • Meriem Outtas ORCID
    Affiliation

    Institut National des Sciences Appliquées Rennes, CNRS, Institut d'Électronique et de Télécommunication de Rennes, UMR 6164, F-35000 Rennes, France

  • Zoulikha Mekkakia Maaza
    Affiliation

    Laboratoire SIMPA, Faculté des Mathématiques et d'Informatique, Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf, USTO-MB, P. O. B. 1505, El Mnaouer, Oran 31000, Algeria

  • Olivier Déforges ORCID
    Affiliation

    Institut National des Sciences Appliquées Rennes, CNRS, Institut d'Électronique et de Télécommunication de Rennes, UMR 6164, F-35000 Rennes, France

  • Amina Serir ORCID
    Affiliation

    Laboratory of Image Processing and Radiation, Faculty of Electronic and Computing, Université des Sciences et de la Technologie Houari Boumedienne, P. O. B. 32, El Alia Bab Ezzouar, Algiers 16111, Algeria

https://doi.org/10.3311/PPee.20256

Abstract

With the emergence of medical imaging, the compression of volumetric medical images is essential. For this purpose, we propose a novel Multiplicative Multiresolution Decomposition (MMD) wavelet coding scheme for lossless compression of volumetric medical images. The MMD is used in speckle reduction technique but offers some proprieties which can be exploited in compression. Thus, as the wavelet transform the MMD provides a hierarchical representation and offers a possibility to realize lossless compression. We integrate in proposed scheme an inter slice filter based on wavelet transform and motion compensation to reduce data energy efficiently. We compare lossless results of classical wavelet coders such as 3D SPIHT and JP3D to the proposed scheme. This scheme incorporates MMD in lossless compression technique by applying MMD/wavelet or MMD transform to each slice, after inter slice filter is employed and the resulting sub-bands are coded by the 3D zero-tree algorithm SPIHT. Lossless experimental results show that the proposed scheme with the MMD can achieve lowest bit rates compared to 3D SPIHT and JP3D.

Keywords:

volumetric medical images, lossless compression, motion compensation, wavelet transform, MMD

Citation data from Crossref and Scopus

Published Online

2022-10-11

How to Cite

Belhadef, L., Outtas, M., Mekkakia Maaza, Z., Déforges, O., Serir, A. “Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression”, Periodica Polytechnica Electrical Engineering and Computer Science, 66(4), pp. 361–369, 2022. https://doi.org/10.3311/PPee.20256

Issue

Section

Articles