annotate util/Rice Wavelet Toolbox/mdwt.c @ 115:921f9931c84f sup_158_IMG_Processing_toolbox_

IMP toolbox dependency removed from SMALL_ImgDeNoiseResult

/*
File Name: mdwt.c
Last Modification Date:	06/14/95	12:56:43
Current Version: mdwt.c	1.5
File Creation Date: Wed Oct 12 08:44:43 1994
Author: Markus Lang  <[e-mail]>

Copyright: All software, documentation, and related files in this distribution
           are Copyright (c) 1994 Rice University

Permission is granted for use and non-profit distribution providing that this
notice be clearly maintained. The right to distribute any portion for profit
or as part of any commercial product is specifically reserved for the author.

Change History: Fixed code such that the result has the same dimension as the 
                input for 1D problems. Also, added some standard error checking.
		Jan Erik Odegard <[e-mail]> Wed Jun 14 1995

MATLAB gateway for MDWT.c, discrete wavelet transform
*/
#include <math.h>
/*#include <malloc.h>*/
#include <stdio.h>
#include "mex.h"
#include "matrix.h"
#if !defined(_WIN32) && !defined(_WIN64)
#include <inttypes.h>
#endif
#define max(A,B) (A > B ? A : B)
#define min(A,B) (A < B ? A : B)
#define even(x)  ((x & 1) ? 0 : 1)
#define isint(x) ((x - floor(x)) > 0.0 ? 0 : 1)
#define mat(a, i, j) (*(a + (m*(j)+i)))  /* macro for matrix indices */

void mexFunction(const int nlhs,mxArray *plhs[],const int nrhs,const mxArray *prhs[])

{
  double *x, *h,  *y, *Lf, *Lr;
  intptr_t m, n, h_col, h_row, lh, L, i, po2, j;
  double mtest, ntest;

  /* check for correct # of input variables */
  if (nrhs>3){
    mexErrMsgTxt("There are at most 3 input parameters allowed!");
    return;
  }
  if (nrhs<2){
    mexErrMsgTxt("There are at least 2 input parameters required!");
    return;
  }
  x = mxGetPr(prhs[0]);
  n = mxGetN(prhs[0]); 
  m = mxGetM(prhs[0]); 
  h = mxGetPr(prhs[1]);
  h_col = mxGetN(prhs[1]); 
  h_row = mxGetM(prhs[1]); 
  if (h_col>h_row)
    lh = h_col;
  else  
    lh = h_row;
  if (nrhs == 3){
    L = (intptr_t) *mxGetPr(prhs[2]);
    if (L < 0)
      mexErrMsgTxt("The number of levels, L, must be a non-negative integer");
  }
  else /* Estimate L */ {
    i=n;j=0;
    while (even(i)){
      i=(i>>1);
      j++;
    }
    L=m;i=0;
    while (even(L)){
      L=(L>>1);
      i++;
    }
    if(min(m,n) == 1)
      L = max(i,j);
    else
      L = min(i,j);
    if (L==0){
      mexErrMsgTxt("Maximum number of levels is zero; no decomposition can be performed!");
      return;
    }
  }
  /* Check the ROW dimension of input */
  if(m > 1){
    mtest = (double) m/pow(2.0, (double) L);
    if (!isint(mtest))
      mexErrMsgTxt("The matrix row dimension must be of size m*2^(L)");
  }
  /* Check the COLUMN dimension of input */
  if(n > 1){
    ntest = (double) n/pow(2.0, (double) L);
    if (!isint(ntest))
      mexErrMsgTxt("The matrix column dimension must be of size n*2^(L)");
  }
  plhs[0] = mxCreateDoubleMatrix(m,n,mxREAL);
  y = mxGetPr(plhs[0]);
  plhs[1] = mxCreateDoubleMatrix(1,1,mxREAL);
  Lr = mxGetPr(plhs[1]);
  *Lr = L;
  MDWT(x, m, n, h, lh, L, y);
}
#ifdef __STDC__
MDWT(double *x, intptr_t m, intptr_t n, double *h, intptr_t lh, intptr_t L, double *y)
#else
MDWT(x, m, n, h, lh, L, y)
double *x, *h, *y;
intptr_t m, n, lh, L;
#endif
{
  double  *h0, *h1, *ydummyl, *ydummyh, *xdummy;
  int *prob;
  intptr_t i, j;
  intptr_t actual_L, actual_m, actual_n, r_o_a, c_o_a, ir, ic, lhm1;
  
  xdummy = (double *)mxCalloc(max(m,n)+lh-1,sizeof(double));
  ydummyl =(double *) (intptr_t)mxCalloc(max(m,n),sizeof(double));
  ydummyh = (double *)(intptr_t)mxCalloc(max(m,n),sizeof(double));
  h0 =(double *)(intptr_t)mxCalloc(lh,sizeof(double));
  h1 = (double *)(intptr_t)mxCalloc(lh,sizeof(double));
  
  
  /* analysis lowpass and highpass */
  if (n==1){
    n = m;
    m = 1;
  }
  for (i=0; i<lh; i++){
    h0[i] = h[lh-i-1];
    h1[i] =h[i];
  }
  for (i=0; i<lh; i+=2)
    h1[i] = -h1[i];
  
  lhm1 = lh - 1;
  actual_m = 2*m;
  actual_n = 2*n;
  
  /* main loop */
  for (actual_L=1; actual_L <= L; actual_L++){
    if (m==1)
      actual_m = 1;
    else{
      actual_m = actual_m/2;
      r_o_a = actual_m/2;     
    }
    actual_n = actual_n/2;
    c_o_a = actual_n/2;
    
    /* go by rows */
    for (ir=0; ir<actual_m; ir++){            /* loop over rows */
      /* store in dummy variable */
      for (i=0; i<actual_n; i++)
	if (actual_L==1)  
	  xdummy[i] = mat(x, ir, i);  
	else 
	  xdummy[i] = mat(y, ir, i);  
      /* perform filtering lowpass and highpass*/
      fpsconv(xdummy, actual_n, h0, h1, lhm1, ydummyl, ydummyh); 
      /* restore dummy variables in matrices */
      ic = c_o_a;
      for  (i=0; i<c_o_a; i++){    
	mat(y, ir, i) = ydummyl[i];  
	mat(y, ir, ic++) = ydummyh[i];  
      } 
    }  
    
    /* go by columns in case of a 2D signal*/
    if (m>1){
      for (ic=0; ic<actual_n; ic++){            /* loop over column */
	/* store in dummy variables */
	for (i=0; i<actual_m; i++)
	  xdummy[i] = mat(y, i, ic);  
	/* perform filtering lowpass and highpass*/
	fpsconv(xdummy, actual_m, h0, h1, lhm1, ydummyl, ydummyh); 
	/* restore dummy variables in matrix */
	ir = r_o_a;
	for (i=0; i<r_o_a; i++){    
	  mat(y, i, ic) = ydummyl[i];  
	  mat(y, ir++, ic) = ydummyh[i];  
	}
      }
    }
  }
}

#ifdef __STDC__
fpsconv(double *x_in, intptr_t lx, double *h0, double *h1, intptr_t lhm1, 
	double *x_outl, double *x_outh)
#else
fpsconv(x_in, lx, h0, h1, lhm1, x_outl, x_outh)
double *x_in, *h0, *h1, *x_outl, *x_outh;
intptr_t lx, lhm1;
#endif

{
 intptr_t i, j, ind;
  double x0, x1;

  for (i=lx; i < lx+lhm1; i++)
    x_in[i] = *(x_in+(i-lx));
  ind = 0;
  for (i=0; i<(lx); i+=2){
    x0 = 0;
    x1 = 0;
    for (j=0; j<=lhm1; j++){
      x0 = x0 + x_in[i+j]*h0[lhm1-j];
      x1 = x1 + x_in[i+j]*h1[lhm1-j];
    }
    x_outl[ind] = x0;
    x_outh[ind++] = x1;
  }
}