void splint2_clip(double *x1a,double *x2a,double *ya,double *y2a,int32 m,int32 n,double x2,double *x1,int32 nx1,double *y)
{
double *y1temp;
double *yy1temp;
double *y2temp;
double *yy2temp;
int i,j,k;
y2temp = new double[m];
yy2temp = new double[m];
for (i=0; i<m; i++)
{
splint_0_clip(x2a,ya+i*n,y2a+i*n,n,x2,yy2temp + i);
}
spline_0(x1a,yy2temp,m,1.0e30,1.0e30,y2temp);
for (k=0; k<nx1; k++)
{
splint_0_clip(x1a,yy2temp,y2temp,m,x1[k],y+k);
}
delete y2temp;
delete yy2temp;
}
void spline2(double *x1a,double *x2a,double *ya,int32 m,int32 n, double *y2a)
{
int i,j;
for (i=0; i<m; i++)
{
spline_0(x2a,ya+i*n,n,1.0e30,1.0e30,y2a+i*n);
}
}
//save to input black table when window is closed
McoStatus PrinterType::setblack(McoHandle blacktableH)
{
short i;
double *black;
double *y2_hands;
double ypn;
y2_hands = new double[num_hands];
black = (double*)McoLockHandle(blacktableH);
ypn=(y_hands[num_hands-1]-y_hands[num_hands-2])/
(x_hands[num_hands-1]-x_hands[num_hands-2]);
spline_0(x_hands,y_hands,num_hands,1E30,1E30,y2_hands);
//L to Black table
for( i = 0; i <= 100; i++)
splint_0(x_hands,y_hands,y2_hands,num_hands,i, black+i);
//fix on 8/23
//clipping the _yd_points which on the left of letfmost hand
//to the value of the leftmost hand
//on the right of rightmost hand to the value of the rightmost hand
for( i = 0; i <= 100; i++){
if( i <= x_hands[0] ) //left of the leftmost hand
black[i] = y_hands[0];
if( i >= x_hands[num_hands-1] ) //left of the leftmost hand
black[i] = y_hands[num_hands-1];
}
//clipping the table and normaliz to 1
for( i = 0; i <= 100; i++){
if(black[i] < 0)
black[i] = 0;
else if(black[i] > 100)
black[i] = 1.0;
else
black[i] /= 100.0;
}
McoUnlockHandle(blacktableH);
delete y2_hands;
return MCO_SUCCESS;
}
// use splines to linearize tables
// the polaroid version (data is in density format)
McoStatus LinearData::setUp(double *data,double *vals,int array_mult,int nc,int *s)
{
int i,j;
double t,t2;
McoStatus state = MCO_SUCCESS;
double z,Ts,Tt;
CleanUp();
numc = nc;
sizes = new int32[numc];
curves = new double*[numc];
values = new double*[numc];
y2 = new double*[numc];
y3 = new double*[numc];
if ((sizes == 0L) || (curves == 0L) || (values == 0L) || (y2 == 0L) || (y3 == 0L)) return MCO_MEM_ALLOC_ERROR;
for (i=0; i<numc; i++)
{
sizes[i] = s[i];
curves[i] = new double[sizes[i]];
values[i] = new double[sizes[i]];
y2[i] = new double[sizes[i]];
y3[i] = new double[sizes[i]];
if ((sizes[i] == 0L) || (curves[i] == 0L) || (values[i] == 0L) || (y2[i] == 0L) || (y3[i] == 0L)) return MCO_MEM_ALLOC_ERROR;
for (j=0; j<sizes[i]; j++)
{
values[i][j] = vals[i*array_mult+j];
}
}
// build the curves
for (i=0; i<numc; i++)
{
for (j=0; j<sizes[i]; j++)
{
curves[i][j] = data[i*array_mult+j];
}
// remve any reversals from the data
state = cleanReversals(curves[i],values[i],&sizes[i]);
if (state != MCO_SUCCESS) goto bail;
// use %dot
z = curves[i][0];
Ts = pow(10,(-curves[i][sizes[i]-1]+z));
for (j=0; j<sizes[i]; j++)
{
Tt = pow(10,(-curves[i][j]+z));
curves[i][j] = 100*(1-Tt)/(1-Ts);
}
// set up the splines
spline_0(values[i],curves[i],sizes[i],1.0e30,1.0e30,y2[i]);
// set up the splines
spline_0(curves[i],values[i],sizes[i],1.0e30,1.0e30,y3[i]);
}
bail:
return state;
}
// use splines to linearize tables
McoStatus LinearData::setUp(double *data,double *vals, double *paper,int nc,int s)
{
int i,j;
double t,t2;
McoStatus state = MCO_SUCCESS;
int LAB = 0;
double z,Ts,Tt;
CleanUp();
numc = nc;
sizes = new int32[numc];
curves = new double*[numc];
values = new double*[numc];
y2 = new double*[numc];
y3 = new double*[numc];
if ((sizes == 0L) || (curves == 0L) || (values == 0L) || (y2 == 0L) || (y3 == 0L)) return MCO_MEM_ALLOC_ERROR;
for (i=0; i<numc; i++)
{
sizes[i] = s;
curves[i] = new double[s];
values[i] = new double[s];
y2[i] = new double[s];
y3[i] = new double[s];
if ((sizes[i] == 0L) || (curves[i] == 0L) || (values[i] == 0L) || (y2[i] == 0L) || (y3[i] == 0L)) return MCO_MEM_ALLOC_ERROR;
for (j=0; j<s; j++)
{
values[i][j] = vals[j];
}
}
// determine if data is in density format
// must have paper density subtracted
for (i=0; i<numc; i++)
{
for (j=0; j<sizes[i]-1; j++)
{
if (fabs(data[i*(s-1)*3+j*3+1]) > 0.01) LAB = 1;
if (fabs(data[i*(s-1)*3+j*3+2]) > 0.01) LAB = 1;
}
}
// build the curves
for (i=0; i<numc; i++)
{
curves[i][0] = 0; // 0%
for (j=0; j<sizes[i]-1; j++)
{
if (LAB)
{
t = data[i*(s-1)*3+j*3]-paper[0];
t2 = t*t;
t = data[i*(s-1)*3+j*3+1]-paper[1];
t2 += t*t;
t = data[i*(s-1)*3+j*3+2]-paper[2];
t2 += t*t;
curves[i][j+1] = sqrt(t2);
}
else curves[i][j+1] = data[i*(s-1)*3+j*3];
}
// remve any reversals from the data
state = cleanReversals(curves[i],values[i],&sizes[i]);
if (state != MCO_SUCCESS) goto bail;
// scale from 0 to 100 if lab
if (LAB) for (j=0; j<sizes[i]; j++) curves[i][j] = 100*curves[i][j]/curves[i][sizes[i]-1];
else
{
z = curves[i][0];
Ts = pow(10,(-curves[i][sizes[i]-1]+z));
for (j=0; j<sizes[i]; j++)
{
Tt = pow(10,(-curves[i][j]+z));
curves[i][j] = 100*(1-Tt)/(1-Ts);
}
}
// set up the splines
spline_0(values[i],curves[i],sizes[i],1.0e30,1.0e30,y2[i]);
// set up the splines
spline_0(curves[i],values[i],sizes[i],1.0e30,1.0e30,y3[i]);
}
bail:
return state;
}