computes the two-dimensional discrete wavelet transform (DWT) at a single level. The initialization routine c09abf
must be called first to set up the DWT options.
computes the two-dimensional DWT of a given input data array, considered as a matrix
, at a single level. For a chosen wavelet filter pair, the output coefficients are obtained by applying convolution and downsampling by two to the input,
, first over columns and then to the result over rows. The matrix of approximation (or smooth) coefficients,
, is produced by the low pass filter over columns and rows; the matrix of horizontal coefficients,
, is produced by the high pass filter over columns and the low pass filter over rows; the matrix of vertical coefficients,
, is produced by the low pass filter over columns and the high pass filter over rows; and the matrix of diagonal coefficients,
, is produced by the high pass filter over columns and rows. To reduce distortion effects at the ends of the data array, several end extension methods are commonly used. Those provided are: periodic or circular convolution end extension, half-point symmetric end extension, whole-point symmetric end extension and zero end extension. The total number,
, of coefficients computed for
together and the number of columns of each coefficients matrix,
, are returned by the initialization routine c09abf
. These values can be used to calculate the number of rows of each coefficients matrix,
, using the formula
If on entry
, explanatory error messages are output on the current error message unit (as defined by x04aaf
The accuracy of the wavelet transform depends only on the floating-point operations used in the convolution and downsampling and should thus be close to machine precision.
Please consult the X06 Chapter Introduction
for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note
for your implementation for any additional implementation-specific information.