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NAME

wdrencode3d, wdrdecode3d - encode/decode an image cube using the 3D-WDR algorithm

SYNOPSIS

wdrencode3d [-w wavelet] [-b boundary] [-nl num_levels] [-sl spatial_num_levels] [-tl temporal_num_levels] [-m mask] [-vo] rate icbfile bitstream

wdrdecode3d [-w wavelet] [-b boundary] [-m mask] [-r rate] bitstream icbfile

OPTIONS

-w wavelet
String. Name of the wavelet file (FBK or LFT format); default = "CohenDaubechiesFeauveau.9-7.lft"
-b boundary
String. Type of boundary extension; default = "symmetric".
-nl num_levels
Integer. Number of levels of dyadic decomposition; default value is 5 levels.
-sl spatial_num_levels
Integer. Number of levels of spatial decomposition; no default value.
-tl temporal_num_levels
Integer. Number of levels of temporal decomposition; no default value.
-m mask
String. Name of file containing the transparency mask for shape-adaptive coding. Default is to not use a mask.
-r rate
Float. Rate at which to stop decoding. Default is to decode until end of input bitstream is reached.
-vo
Print only the value of the rate to stdout (terse output); default is verbose output.

DESCRIPTION

wdrencode3d codes an image cube, icbfile, using the 3D-WDR algorithm which is a 3D generalization of the 2D Wavelet Difference Reduction (2D-WDR) algorithm by Tian and Wells.

The transform is either the usual discrete wavelet transform (DWT) or a shape-adaptive DWT (SA-DWT) and can be either a dyadic or wavelet-packet decomposition; see QccWAVwdr3DEncode(3) for complete details. Option -w specifies the wavelet, option -b specifies the boundary extension. The -m option gives the image-cube file to be used as a transparency mask for the SA-DWT. mask must be a grayscale image cube in which black in this image cube indicates transparency, white indicates full opacity, and gray tones are degrees of translucence (see QccAlpha(3) ). If the -m option is not given, the usual, full-volume DWT is used.

The -nl, -sl, and -tl options determine whether a dyadic or wavelet-packet transform is used. If -nl is specified, a dyadic transform is used. In this case, num_levels is the number of decompositions in all three directions. If either -sl or -tl, or both, is specified, a wavelet-packet transform is used. In this case, spatial_num_levels and temporal_num_levels give the number of decompositions spatially and temporally, respectively, of the packet transform. If only one of -sl and -tl is given, then the same number of decompositions is used spatially and temporally. In the case that none of -nl, -sl, and -tl is specified, then a dyadic decomposition with the default value of num_levels is used.

The desired bitrate of the output bitstream is specified by rate, which is expressed in bits per voxel of the original image. wdrencode3d normally prints to stdout a small amount of information concerning this target bitrate and the actual bitrate achieved. Usually these rates are identical, but may differ slightly. If the -vo (value-only) option is given, all printed output is suppressed except for the actual bitrate.

wdrdecode3d performs the corresponding decoding using the 3D-WDR algorithm, decoding the bitstream made by wdrencode3d and producing a reconstructed image cube, icbfile. For sane results, wavelet and boundary should be the same as they were for wdrencode3d, and mask should be the same if an SA-DWT was used as the transform. If a decoding rate is specified with the -r option, then wdrdecode3d stops decoding when rate bits per voxel from the input bitstream have been decoded. Otherwise, decoding stops when the end of the input bitstream is reached.

wdrencode3d and wdrdecode3d call QccWAVwdr3DEncode(3) and QccWAVwdr3DDecode(3) , respectively, to perform 3D-WDR encoding and decoding. Refer to the man pages for these functions for more information on the details of the QccPack implementation of the 3D-WDR algorithm.

SEE ALSO

QccWAVwdr3DEncode(3) , QccWAVwdr3DDecode(3) , QccWAVSubbandPyramid3D(3) , QccPackWAV(3) , QccPackIMG(3) , QccPack(3)

J. Tian and R. O. Wells, Jr., "Embedded Image Coding Using Wavelet Difference Reduction", in Wavelet Image and Video Compression, P. N. Topiwala, Ed., pp. 289-302, Kluwer Academic Publishers, Norwell, MA, 1998.

AUTHOR

Written by Justin Rucker based on the 2D-WDR implementation by Yufei Yuan.

Copyright (C) 1997-2021 James E. Fowler


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