NAG Library Function Document

nag_imldwt_2d (c09edc)

 Contents

    1  Purpose
    7  Accuracy
    10  Example

1
Purpose

nag_imldwt_2d (c09edc) computes the inverse two-dimensional multi-level discrete wavelet transform (DWT). This function reconstructs data from (possibly filtered or otherwise manipulated) wavelet transform coefficients calculated by nag_mldwt_2d (c09ecc) from an original input matrix. The initialization function nag_wfilt_2d (c09abc) must be called first to set up the DWT options.

2
Specification

#include <nag.h>
#include <nagc09.h>
void  nag_imldwt_2d (Integer nwlinv, Integer lenc, const double c[], Integer m, Integer n, double b[], Integer ldb, const Integer icomm[], NagError *fail)

3
Description

nag_imldwt_2d (c09edc) performs the inverse operation of nag_mldwt_2d (c09ecc). That is, given a set of wavelet coefficients, computed up to level nfwd by nag_mldwt_2d (c09ecc) using a DWT as set up by the initialization function nag_wfilt_2d (c09abc), on a real matrix, A, nag_imldwt_2d (c09edc) will reconstruct A. The reconstructed matrix is referred to as B in the following since it will not be identical to A when the DWT coefficients have been filtered or otherwise manipulated prior to reconstruction. If the original input matrix is level 0, then it is possible to terminate reconstruction at a higher level by specifying fewer than the number of levels used in the call to nag_mldwt_2d (c09ecc). This results in a partial reconstruction.

4
References

None.

5
Arguments

1:     nwlinv IntegerInput
On entry: the number of levels to be used in the inverse multi-level transform. The number of levels must be less than or equal to nfwd, which has the value of argument nwl as used in the computation of the wavelet coefficients using nag_mldwt_2d (c09ecc). The data will be reconstructed to level nwl-nwlinv, where level 0 is the original input dataset provided to nag_mldwt_2d (c09ecc).
Constraint: 1nwlinvnwl, where nwl is the value used in a preceding call to nag_mldwt_2d (c09ecc).
2:     lenc IntegerInput
On entry: the dimension of the array c.
Constraint: lencnct, where nct is the total number of coefficients that correspond to a transform with nwlinv levels and is unchanged from the preceding call to nag_mldwt_2d (c09ecc).
3:     c[lenc] const doubleInput
On entry: the coefficients of a multi-level wavelet transform of the original matrix, A, which may have been filtered or otherwise manipulated.
Let qi be the number of coefficients (of each type) at level i, for i=nfwd,nfwd-1,,1. Then, setting k1=qnfwd and kj+1=kj+qnfwd-j/3+1, for j=1,2,,3nfwd, the coefficients are stored in c as follows:
c[i-1], for i=1,2,,k1
Contains the level nfwd approximation coefficients, anfwd.
c[i-1], for i=kj+1,,kj+1
Contains the level nfwd-j/3+1 vertical, horizontal and diagonal coefficients. These are:
  • vertical coefficients if j mod 3=1;
  • horizontal coefficients if j mod 3=2;
  • diagonal coefficients if j mod 3=0,
for j=1,,3nfwd.
Note that the coefficients in c may be extracted according to level and type into two-dimensional arrays using nag_wav_2d_coeff_ext (c09eyc), and inserted using nag_wav_2d_coeff_ins (c09ezc).
4:     m IntegerInput
On entry: the number of elements, m, in the first dimension of the reconstructed matrix B. For a full reconstruction of nwl levels, where nwl is as supplied to nag_mldwt_2d (c09ecc), this must be the same as argument m used in the call to nag_mldwt_2d (c09ecc). For a partial reconstruction of nwlinv<nwl levels, this must be equal to dwtlvm[nwlinv], as returned from nag_mldwt_2d (c09ecc).
5:     n IntegerInput
On entry: the number of elements, n, in the second dimension of the reconstructed matrix B. For a full reconstruction of nwl levels, where nwl is as supplied to nag_mldwt_3d (c09fcc), this must be the same as argument n used in the call to nag_mldwt_2d (c09ecc). For a partial reconstruction of nwlinv<nwl, this must be equal to dwtlvn[nwlinv], as returned from nag_mldwt_2d (c09ecc).
6:     b[ldb×n] doubleOutput
Note: the i,jth element of the matrix B is stored in b[j-1×ldb+i-1].
On exit: the m by n reconstructed matrix, B, based on the input multi-level wavelet transform coefficients and the transform options supplied to the initialization function nag_wfilt_2d (c09abc).
7:     ldb IntegerInput
On entry: the stride separating matrix row elements in the array b.
Constraint: ldbm.
8:     icomm[180] const IntegerCommunication Array
On entry: contains details of the discrete wavelet transform and the problem dimension as setup in the call to the initialization function nag_wfilt_2d (c09abc).
9:     fail NagError *Input/Output
The NAG error argument (see Section 3.7 in How to Use the NAG Library and its Documentation).

6
Error Indicators and Warnings

NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 2.3.1.2 in How to Use the NAG Library and its Documentation for further information.
NE_BAD_PARAM
On entry, argument value had an illegal value.
NE_INITIALIZATION
Either the initialization function has not been called first or icomm has been corrupted.
Either the initialization function was called with wtrans=Nag_SingleLevel or icomm has been corrupted.
NE_INT
On entry, lenc=value.
Constraint: lencvalue, the total number of coefficients generated by the preceding call to nag_mldwt_2d (c09ecc).
On entry, m=value.
Constraint: mvalue, the number of coefficients in the first dimension at the required level of reconstruction.
On entry, n=value.
Constraint: nvalue, the number of coefficients in the second dimension at the required level of reconstruction.
On entry, nwlinv=value.
Constraint: nwlinv1.
NE_INT_2
On entry, ldb=value and m=value.
Constraint: ldbm.
On entry, nwlinv=value and nfwd=value.
Constraint: nwlinvnfwd.
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 2.7.6 in How to Use the NAG Library and its Documentation for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 2.7.5 in How to Use the NAG Library and its Documentation for further information.

7
Accuracy

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.

8
Parallelism and Performance

nag_imldwt_2d (c09edc) is not threaded in any implementation.

9
Further Comments

None.

10
Example

See Section 10 in nag_mldwt_2d (c09ecc).
© The Numerical Algorithms Group Ltd, Oxford, UK. 2017