NAG Library Function Document
nag_mldwt_3d (c09fcc)
 
1
 Purpose
nag_mldwt_3d (c09fcc) computes the three-dimensional multi-level discrete wavelet transform (DWT). The initialization function 
nag_wfilt_3d (c09acc) must be called first to set up the DWT options.
 
 
2
 Specification
| 
| #include <nag.h> |  
| #include <nagc09.h> |  
| void | nag_mldwt_3d (Integer m,
Integer n,
Integer fr,
const double a[],
Integer lda,
Integer sda,
Integer lenc,
double c[],
Integer nwl,
Integer dwtlvm[],
Integer dwtlvn[],
Integer dwtlvfr[],
Integer icomm[],
NagError *fail) |  | 
 
3
 Description
nag_mldwt_3d (c09fcc) computes the multi-level DWT of three-dimensional data.  For a given wavelet and end extension method, 
nag_mldwt_3d (c09fcc) will compute a multi-level transform of a three-dimensional array 
, using a specified number, 
, of levels.  The number of levels specified, 
, must be no more than the value 
 returned in 
nwlmax by the initialization function 
nag_wfilt_3d (c09acc) for the given problem.  The transform is returned as a set of coefficients for the different levels (packed into a single array) and a representation of the multi-level structure.
 The notation used here assigns level  to the input data, . Level 1 consists of the first set of coefficients computed: the seven sets of detail coefficients are stored at this level while the approximation coefficients are used as the input to a repeat of the wavelet transform at the next level.  This process is continued until, at level , all eight types of coefficients are stored.  All coefficients are packed into a single array.
 
4
 References
Wang Y, Che X and Ma S (2012)  Nonlinear filtering based on 3D wavelet transform for MRI denoising URASIP Journal on Advances in Signal Processing 2012:40 
 
5
 Arguments
- 1:
  
      – IntegerInput
- 
On entry: the number of rows of each two-dimensional frame. Constraint:
  
this must be the same as the value  m passed to the initialization function  nag_wfilt_3d (c09acc). 
 
- 2:
  
      – IntegerInput
- 
On entry: the number of columns of each two-dimensional frame. Constraint:
  
this must be the same as the value  n passed to the initialization function  nag_wfilt_3d (c09acc). 
 
- 3:
  
      – IntegerInput
- 
On entry: the number of two-dimensional frames. Constraint:
  
this must be the same as the value  fr passed to the initialization function  nag_wfilt_3d (c09acc). 
 
- 4:
  
      – const doubleInput
- Note:-  the dimension,  dim- , of the array 
     a- 
must be at least
 - . 
 - On entry: the  by  by  three-dimensional input data , where with  stored in . 
- 5:
  
      – IntegerInput
- On entry- : the stride separating row elements of each of the sets of frame coefficients in the three-dimensional data stored in  a- . 
 - Constraint:
  .
 
- 6:
  
      – IntegerInput
- 
On entry: the stride separating corresponding coefficients of consecutive frames in the three-dimensional data stored in  a. 
 Constraint:
  .
 
- 7:
  
      – IntegerInput
- 
On entry: the dimension of the array  c. 
 Constraint:
   , where   is the total number of wavelet coefficients that correspond to a transform with  nwl levels. 
 
- 8:
  
      – doubleOutput
- 
On exit: the coefficients of the discrete wavelet transform. If you need to access or modify the approximation coefficients or any specific set of detail coefficients then the use of  nag_wav_3d_coeff_ext (c09fyc) or  nag_wav_3d_coeff_ins (c09fzc) is recommended. For completeness the following description provides details of precisely how the coefficients are stored in  c but this information should only be required in rare cases.
 Let
  denote the number of coefficients of each type at level  , for  , such that  . Then, letting   and
 , for  , the coefficients are stored in  c as follows: 
 
- , for 
- Contains the level  approximation coefficients, . Note that for computational efficiency reasons these coefficients are stored as  in c.
- , for 
- Contains the level  detail coefficients. These are: - LLH coefficients if ;
- LHL coefficients if ;
- LHH coefficients if ;
- HLL coefficients if ;
- HLH coefficients if ;
- HHL coefficients if ;
- HHH coefficients if ,
 for . See Section 2.1 in  the c09 Chapter Introduction for a description of how these coefficients are produced.Note that for computational efficiency reasons these coefficients are stored as   in  c. 
 
 
- 9:
  
      – IntegerInput
- 
On entry: the number of levels, , in the multi-level resolution to be performed. Constraint:
   , where   is the value returned in  nwlmax (the maximum number of levels) by the call to the initialization function  nag_wfilt_3d (c09acc). 
 
- 10:
  
    – IntegerOutput
- 
On exit: the number of coefficients in the first dimension for each coefficient type at each level.
 contains the number of coefficients in the first dimension (for each coefficient type computed) at the ()th level of resolution, for . 
- 11:
  
    – IntegerOutput
- 
On exit: the number of coefficients in the second dimension for each coefficient type at each level.
 contains the number of coefficients in the second dimension (for each coefficient type computed) at the ()th level of resolution, for . 
- 12:
  
    – IntegerOutput
- 
On exit: the number of coefficients in the third dimension for each coefficient type at each level.
 contains the number of coefficients in the third dimension (for each coefficient type computed) at the ()th level of resolution, for . 
- 13:
  
    – 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_3d (c09acc). 
 On exit: contains additional information on the computed transform. 
- 14:
  
    – 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   had an illegal value. 
- NE_INITIALIZATION
- 
Either the communication array  icomm has been corrupted or there has not been a prior call to the initialization function  nag_wfilt_3d (c09acc).
 
The initialization function was called with . 
 
- NE_INT
- 
On entry,  .  Constraint:  , the value of  fr on  initialization (see  nag_wfilt_3d (c09acc)).
 
On entry,  .  Constraint:  , the value of  m on  initialization (see  nag_wfilt_3d (c09acc)).
 
On entry,  .  Constraint:  , the value of  n on  initialization (see  nag_wfilt_3d (c09acc)).
 
On entry, .
 Constraint: .
 
- NE_INT_2
- 
On entry,  and .
 Constraint: .
 
On entry, .
 Constraint: , the total number of coefficents to be generated.
 
On entry,   and   in  nag_wfilt_3d (c09acc).  Constraint:   in  nag_wfilt_3d (c09acc).
 
On entry,  and .
 Constraint: .
 
- 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_mldwt_3d (c09fcc) is not threaded in any implementation.
The example program shows how the wavelet coefficients at each level can be extracted from the output array 
c. Denoising can be carried out by applying a thresholding operation to the detail coefficients at every level.  If 
 is a detail coefficient then 
 and 
 is the transformed noise term. If some threshold parameter 
 is chosen, a simple hard thresholding rule can be applied as
taking 
 to be an approximation to the required detail coefficient without noise, 
. The resulting coefficients can then be used as input to 
nag_imldwt_3d (c09fdc) in order to reconstruct the denoised signal. See 
Section 10 in 
nag_wav_3d_coeff_ins (c09fzc) for a simple example of denoising.
See the references given in the introduction to this chapter for a more complete account of wavelet denoising and other applications.
 
10
 Example
This example computes the three-dimensional multi-level discrete wavelet decomposition for 
 input data using the biorthogonal wavelet of order 
 (set 
 in 
nag_wfilt_3d (c09acc)) with periodic end extension, prints a selected set of wavelet coefficients and then reconstructs and verifies that the reconstruction matches the original data.
 
10.1
 Program Text
Program Text (c09fcce.c)
 
10.2
 Program Data
Program Data (c09fcce.d)
 
10.3
 Program Results
Program Results (c09fcce.r)