Title :
Morphological wavelets for 3D volume image decorrelation
Author :
Sandic-Stankovic, Dragana
Author_Institution :
Inst. for Telecommun. & Electron. IRITEL AD, Serbia
Abstract :
The performances of morphological wavelets for 3D volume image decorrelation in lossless image compression are presented. Nonlinear morphological wavelets used in non-redundant multiresolution signal decomposition schemes with perfect reconstruction are very fast for implementation as only integer arithmetic is used. The lifting schemes implementing morphological wavelet transforms avoid quantizers which is attractive property for lossless data compression. The performances of both separable and non-separable 3D morphological wavelet transforms using lifting scheme is evaluated. The computation time of 3D decomposition implemented by morphological wavelets is 3 times shorter than the decomposition time with 5/3 wavelet filters used in JPEG2000 standard with similar decorrelation efficiency for lossless compression.
Keywords :
data compression; decorrelation; image coding; integer programming; mathematical morphology; singular value decomposition; wavelet transforms; 3D volume image decorrelation; JPEG2000 standard; integer arithmetic; lifting scheme; lossless data compression; lossless image compression; morphological wavelet transforms; non redundant multiresolution signal decomposition; nonlinear transform; wavelet filters; Decorrelation; Entropy; Image coding; Signal resolution; Three dimensional displays; Wavelet transforms; 3D multiresolution decomposition; Morphological wavelets; decorrelation; lifting scheme; lossless compression; separable and non-separable 3D decomposition;
Conference_Titel :
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0273-0
DOI :
10.1109/ICDSP.2011.6004948
