Multiresolution decomposition using morphological filters for 3D volume image decorrelation

Author

Sandic-Stankovic, Dragana

Author_Institution

Inst. for Telecommun. & Electron., IRITEL, Belgrade, Serbia

fYear

2011

fDate

Aug. 29 2011-Sept. 2 2011

Firstpage

1357

Lastpage

1361

Abstract

The efficiency of multiresolution decomposition using morphological filters for 3D volume image decorrelation in lossless compression and computational complexity are evaluated. More efficient decorrelation is performed using morphological wavelets for multiresolution data representation than using Laplacian style pyramidal decomposition with morphological filters. Morphological wavelets are also faster in implementation than morphological pyramids. The computation time of the multiresolution decomposition implemented by morphological wavelets is 3 times shorter than the computation time of the wavelet decomposition with 5/3 filters used in JPEG2000 standard with similar decorrelation efficiency for lossless compression.

Keywords

computational complexity; data compression; decomposition; decorrelation; filtering theory; image coding; image representation; image resolution; wavelet transforms; 3D volume image decorrelation; JPEG2000 standard; Laplacian style pyramidal decomposition; computational complexity; lossless compression; morphological filter; morphological pyramid; morphological wavelet decomposition; multiresolution data representation; multiresolution decomposition; Decorrelation; Image coding; Image resolution; Signal resolution; Three-dimensional displays; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2011 19th European

Conference_Location

Barcelona

ISSN

2076-1465

Type

conf

Filename

7073979