public static void normalizeErrors(
float[][][][] e, final float ignoreMin, final float ignoreMax) {
final int nl = e[0][0][0].length;
final int n1 = e[0][0].length;
final int n2 = e[0].length;
final int n3 = e.length;
final float[][][][] ef = e;
MinMax mm =
Parallel.reduce(
n3,
new Parallel.ReduceInt<MinMax>() {
public MinMax compute(int i3) {
float emin = Float.MAX_VALUE;
float emax = -Float.MAX_VALUE;
for (int i2 = 0; i2 < n2; ++i2) {
for (int i1 = 0; i1 < n1; ++i1) {
for (int il = 0; il < nl; ++il) {
float ei = ef[i3][i2][i1][il];
if (ei < emin && ei > ignoreMin) emin = ei;
if (ei > emax && ei < ignoreMax) emax = ei;
}
}
}
return new MinMax(emin, emax);
}
public MinMax combine(MinMax mm1, MinMax mm2) {
return new MinMax(min(mm1.emin, mm2.emin), max(mm1.emax, mm2.emax));
}
});
shiftAndScale(mm.emin, mm.emax, e);
}
/**
* 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;
}
/**
* Computes the NRMS value of the warped PS trace {@code h} and the PP trace {@code f}. The NRMS
* value is the RMS of the difference between {@code f} and {@code h} divided by the average RMS
* of {@code f} and {@code h}.
*
* @param n1Max the length of {@code f} and {@code h} to use for this computation.
* @param f the PP traces.
* @param h the warped PS traces.
* @return the NRMS value, this measure is between 0.0 and 2.0.
*/
public static float computeNrms(final int n1Max, final float[][][] f, final float[][][] h) {
int n1f = f[0][0].length;
int n1h = h[0][0].length;
Check.argument(n1Max <= n1f, "n1Max<=n1f");
Check.argument(n1Max <= n1h, "n1Max<=n1h");
final int n3 = f.length;
final int n2 = f[0].length;
final int n23 = n2 * n3;
float scale = 1.0f / (n1Max * n23);
float[] rms =
Parallel.reduce(
n23,
new Parallel.ReduceInt<float[]>() {
@Override
public float[] compute(int i23) {
int i2 = i23 % n2;
int i3 = i23 / n2;
float[] fhdSq = new float[3];
for (int i1 = 0; i1 < n1Max; i1++) {
float fv = f[i3][i2][i1];
float hv = h[i3][i2][i1];
fhdSq[0] += fv * fv;
fhdSq[1] += hv * hv;
fhdSq[2] += (hv - fv) * (hv - fv);
}
return fhdSq;
}
@Override
public float[] combine(float[] fhdSq1, float[] fhdSq2) {
float[] rms = new float[3];
rms[0] = fhdSq1[0] + fhdSq2[0];
rms[1] = fhdSq1[1] + fhdSq2[1];
rms[2] = fhdSq1[2] + fhdSq2[2];
return rms;
}
});
float frms = sqrt(rms[0] * scale);
float hrms = sqrt(rms[1] * scale);
float drms = sqrt(rms[2] * scale);
float nrms = (2.0f * drms) / (frms + hrms);
return nrms;
}
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;
}
}
}
});
}
