/**
* Applies the shifts {@code u} to the trace {@code g}.
*
* @param sf the sampling that {@code g} is being warped to.
* @param u the shifts to apply to {@code g}.
* @param sg the sampling of {@code g}.
* @param g the trace to be warped.
* @return the warped image.
*/
public static float[][][] applyShifts(
Sampling sf, final float[][][] u, Sampling sg, final float[][][] g) {
final int n1 = u[0][0].length;
final int n2 = u[0].length;
final int n3 = u.length;
final int ng = g[0][0].length;
final double dg = sg.getDelta();
final double df = sf.getDelta();
final double fg = sg.getDelta();
final double ff = sf.getDelta();
final float[][][] hf = new float[n3][n2][n1];
final SincInterp si = new SincInterp();
int n23 = n3 * n2;
Parallel.loop(
n23,
new Parallel.LoopInt() {
public void compute(int i23) {
int i2 = i23 % n2;
int i3 = i23 / n2;
double v = ff;
for (int i1 = 0; i1 < n1; i1++, v = ff + i1 * df) {
hf[i3][i2][i1] = si.interpolate(ng, dg, fg, g[i3][i2], (float) v + u[i3][i2][i1]);
}
}
});
return hf;
}
public static float[][] compositeShifts(
final Sampling sf, final float[][] u1, final float[][] u2) {
int n2 = u1.length;
final float[][] uc = new float[n2][];
Parallel.loop(
n2,
new Parallel.LoopInt() {
public void compute(int i2) {
uc[i2] = compositeShifts(sf, u1[i2], u2[i2]);
}
});
return uc;
}
@Deprecated
public static float[][][] transposeLag23(final float[][][] e) {
final int nl = e[0][0].length;
final int n1 = e[0].length;
final int n2 = e.length;
final float[][][] t = new float[n1][n2][nl];
Parallel.loop(
n1,
new Parallel.LoopInt() {
public void compute(int i1) {
for (int i2 = 0; i2 < n2; ++i2) t[i1][i2] = e[i2][i1];
}
});
return t;
}
@Deprecated
public static float[][][] transposeLag12(final float[][][] e) {
final int nl = e[0][0].length;
final int n1 = e[0].length;
final int n2 = e.length;
final float[][][] t = new float[n2][nl][n1];
Parallel.loop(
n2,
new Parallel.LoopInt() {
public void compute(int i2) {
for (int il = 0; il < nl; ++il)
for (int i1 = 0; i1 < n1; ++i1) t[i2][il][i1] = e[i2][i1][il];
}
});
return t;
}
public static void normalize(float[][] f, final float nmin, final float nmax) {
final int n1 = f[0].length;
final int n2 = f.length;
final float[][] ff = f;
final float vmin = min(f);
final float vmax = max(f);
final float range = vmax - vmin;
final float nrange = nmax - nmin;
Parallel.loop(
n2,
new Parallel.LoopInt() {
public void compute(int i2) {
for (int i1 = 0; i1 < n1; ++i1) {
float vi = ff[i2][i1];
ff[i2][i1] = nrange * (vi - vmin) / range + nmin;
}
}
});
}
/**
* Shifts and scales alignment errors to be in range [0,1].
*
* @param emin minimum alignment error before normalizing.
* @param emax maximum alignment error before normalizing.
* @param e input/output array of alignment errors.
*/
private static void shiftAndScale(float emin, float emax, float[][][] e) {
// System.out.println("shiftAndScale: emin="+emin+" emax="+emax);
final int nl = e[0][0].length;
final int n1 = e[0].length;
final int n2 = e.length;
final float eshift = emin;
final float escale = (emax > emin) ? 1.0f / (emax - emin) : 1.0f;
final float[][][] ef = e;
Parallel.loop(
n2,
new Parallel.LoopInt() {
public void compute(int i2) {
for (int i1 = 0; i1 < n1; ++i1) {
for (int il = 0; il < nl; ++il) {
ef[i2][i1][il] = (ef[i2][i1][il] - eshift) * escale;
}
}
}
});
}
