Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression - UFR ISTIC Informatique et électronique Access content directly
Journal Articles Periodica Polytechnica Electrical Engineering and Computer Science Year : 2022

Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression

Leila Belhadef
  • Function : Author
Zoulikha Mekkakia Maaza
  • Function : Author
Amina Serir

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.
Fichier principal
Vignette du fichier
adoboczi,+06_PPEECS_20256_P.pdf (746.77 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-04143199 , version 1 (19-02-2024)

Licence

Attribution

Identifiers

Cite

Leila Belhadef, Meriem Outtas, Zoulikha Mekkakia Maaza, Olivier Déforges, Amina Serir. Multiplicative Multiresolution Decomposition for Lossless Volumetric Medical Images Compression. Periodica Polytechnica Electrical Engineering and Computer Science, 2022, 66 (4), pp.361-369. ⟨10.3311/PPee.20256⟩. ⟨hal-04143199⟩
19 View
1 Download

Altmetric

Share

Gmail Facebook X LinkedIn More