volume_dwt
Perform forward or backward discrete wavelet transform on a MINC volume.
volume_dwt --forward <input> <output_LLL> ... <output_HHH>
volume_dwt --backward <input_LLL> ... <input_HHH> <output>
volume_dwt [--forward|--backward] --packed <input> <output>
DESCRIPTION
volume_dwt computes the discrete wavelet transform (DWT) on a 3D MINC volume. The forward transform decomposes the volume into eight subband components (LLL, LLH, LHL, LHH, HLL, HLH, HHL, HHH), where L denotes low-pass and H denotes high-pass filtering along each axis.
The inverse (backward) transform reconstructs the original volume from the eight subband components.
A packed mode is available where all subbands are stored in a single volume.
OPTIONS
--forward- Perform the forward discrete wavelet transform (decomposition).
--backward- Perform the backward (inverse) discrete wavelet transform (reconstruction).
--packed- Use packed mode where all subbands are stored in a single volume.
EXAMPLES
Forward DWT producing eight subband volumes:
volume_dwt --forward input.mnc LLL.mnc LLH.mnc LHL.mnc LHH.mnc HLL.mnc HLH.mnc HHL.mnc HHH.mnc
Inverse DWT reconstructing from subbands:
volume_dwt --backward LLL.mnc LLH.mnc LHL.mnc LHH.mnc HLL.mnc HLH.mnc HHL.mnc HHH.mnc output.mnc
Forward DWT in packed mode:
volume_dwt --forward --packed input.mnc packed_dwt.mnc
AUTHOR
Vladimir S. Fonov - McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.
COPYRIGHTS
Copyright © 2011 by Vladimir S. Fonov