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imagej-elphel
Commit f0c23c91 authored by Andrey Filippov's avatar Andrey Filippov
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next snapshot working on monochrome mode in TP

parent 88737b12
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Showing with 103 additions and 158 deletions
src/main/java/com/elphel/imagej/tileprocessor/ImageDtt.java
View file @ f0c23c91
......@@ -1578,11 +1578,17 @@ public class ImageDtt {
col_weights[0] = 0.25; // 1.0/3;
col_weights[1] = 0.25; // 1.0/3;
col_weights[2] = 0.5; // 1.0/3;
} else {
if (isMonochrome()) {
col_weights[2] = 1.0;// green color/mono
col_weights[0] = 0;
col_weights[1] = 0;
} else {
col_weights[2] = 1.0/(1.0 + corr_red + corr_blue); // green color
col_weights[0] = corr_red * col_weights[2];
col_weights[1] = corr_blue * col_weights[2];
}
}
final int corr_size = transform_size * 2 -1;
final int [][] transpose_indices = new int [corr_size*(corr_size-1)/2][2];
......@@ -2095,7 +2101,7 @@ public class ImageDtt {
// calculate all selected pairs correlations
int all_pairs = imgdtt_params.dbg_pair_mask; //TODO: use tile tasks
double [][] corrs = corr2d.correlateCompositeFD(
double [][] corrs = corr2d.correlateCompositeFD( // now works with nulls for some clt_data colors
clt_data, // double [][][][][][] clt_data,
tileX, // int tileX,
tileY, // int tileY,
......@@ -2330,8 +2336,6 @@ public class ImageDtt {
disparity_map[DISPARITY_INDEX_CM] [tIndex] = disparity;
}
}
}
if (tile_lma_debug_level > -1) {
System.out.println("debug12348973591");
......@@ -2427,40 +2431,17 @@ public class ImageDtt {
System.out.println("BUG: 3. disparity_map[DISPARITY_STRENGTH_INDEX][tIndex] should not be NaN");
}
} // if (disparity_map != null){ // not null - calculate correlations
// only debug is left
// old (per-color correlation)
if ((clt_corr_combo != null) && !imgdtt_params.corr_mode_debug){ // not null - calculate correlations
tcorr_tpartial= new double[corr_pairs.length][numcol+1][4][transform_len];
tcorr_partial = new double[quad][numcol+1][];
for (int pair = 0; pair < corr_pairs.length; pair++){
for (int chn = 0; chn <numcol; chn++){
double [][] data1 = clt_data[corr_pairs[pair][0]][chn][tileY][tileX];
double [][] data2 = clt_data[corr_pairs[pair][1]][chn][tileY][tileX];
/* for (int i = 0; i < transform_len; i++) {
double s1 = 0.0, s2=0.0;
for (int n = 0; n< 4; n++){
s1+=data1[n][i] * data1[n][i];
s2+=data2[n][i] * data2[n][i];
}
double scale = 1.0 / (Math.sqrt(s1*s2) + corr_fat_zero*corr_fat_zero); // squared to match units
for (int n = 0; n<4; n++){
tcorr_tpartial[pair][chn][n][i] = 0;
for (int k=0; k<4; k++){
if (zi[n][k] < 0)
tcorr_tpartial[pair][chn][n][i] -=
data1[-zi[n][k]][i] * data2[k][i];
else
tcorr_tpartial[pair][chn][n][i] +=
data1[zi[n][k]][i] * data2[k][i];
}
tcorr_tpartial[pair][chn][n][i] *= scale;
}
} */
for (int ncol = 0; ncol <numcol; ncol++){
double [][] data1 = clt_data[corr_pairs[pair][0]][ncol][tileY][tileX];
double [][] data2 = clt_data[corr_pairs[pair][1]][ncol][tileY][tileX];
if ((data1 != null) && (data2 != null)) {
double [] a2 = new double[transform_len];
double sa2 = 0.0;
......@@ -2477,62 +2458,66 @@ public class ImageDtt {
for (int i = 0; i < transform_len; i++) {
double scale = 1.0 / (a2[i] + fz2);
for (int n = 0; n<4; n++){
tcorr_tpartial[pair][chn][n][i] = 0;
tcorr_tpartial[pair][ncol][n][i] = 0;
for (int k=0; k<4; k++){
if (zi[n][k] < 0)
tcorr_tpartial[pair][chn][n][i] -=
tcorr_tpartial[pair][ncol][n][i] -=
data1[-zi[n][k]][i] * data2[k][i];
else
tcorr_tpartial[pair][chn][n][i] +=
tcorr_tpartial[pair][ncol][n][i] +=
data1[zi[n][k]][i] * data2[k][i];
}
tcorr_tpartial[pair][chn][n][i] *= scale;
tcorr_tpartial[pair][ncol][n][i] *= scale;
}
}
} else {
tcorr_tpartial[pair][ncol] = null;
}
// got transform-domain correlation for the pair, 1 color
}
// calculate composite color
for (int i = 0; i < transform_len; i++) {
for (int n = 0; n<4; n++) {
tcorr_tpartial[pair][numcol][n][i] =
col_weights[0]* tcorr_tpartial[pair][0][n][i] +
col_weights[1]* tcorr_tpartial[pair][1][n][i] +
col_weights[2]* tcorr_tpartial[pair][2][n][i];
tcorr_tpartial[pair][numcol][n][i] = 0.0;
for (int ncol= 0; ncol < tcorr_tpartial[pair].length; ncol++) {
if (tcorr_tpartial[pair][ncol] != null) {
tcorr_tpartial[pair][numcol][n][i] += col_weights[ncol] * tcorr_tpartial[pair][0][n][i];
}
}
}
}
// now lpf (only last/composite color if do not preserve intermediate
int firstColor = (clt_corr_partial == null)? numcol : 0;
if (corr_sigma >0) {
for (int chn = firstColor; chn <= numcol; chn++){
for (int ncol = firstColor; ncol <= numcol; ncol++) if (tcorr_tpartial[pair][ncol] != null){
for (int i = 0; i < transform_len; i++) {
for (int n = 0; n<4; n++) {
tcorr_tpartial[pair][chn][n][i] *= filter[i];
tcorr_tpartial[pair][ncol][n][i] *= filter[i];
}
}
}
}
// convert to pixel domain - all or just composite color
for (int chn = firstColor; chn <= numcol; chn++){
for (int ncol = firstColor; ncol <= numcol; ncol++) if (tcorr_tpartial[pair][ncol] != null) {
for (int quadrant = 0; quadrant < 4; quadrant++){
int mode = ((quadrant << 1) & 2) | ((quadrant >> 1) & 1); // transpose
tcorr_tpartial[pair][chn][quadrant] =
dtt.dttt_iie(tcorr_tpartial[pair][chn][quadrant], mode, transform_size);
tcorr_tpartial[pair][ncol][quadrant] =
dtt.dttt_iie(tcorr_tpartial[pair][ncol][quadrant], mode, transform_size);
}
}
// convert from 4 quadrants to 15x15 centered tiles (each color or only composite)
for (int chn = firstColor; chn <= numcol; chn++){
tcorr_partial[pair][chn] = dtt.corr_unfold_tile(
tcorr_tpartial[pair][chn],
for (int ncol = firstColor; ncol <= numcol; ncol++) if (tcorr_tpartial[pair][ncol] != null) {
tcorr_partial[pair][ncol] = dtt.corr_unfold_tile(
tcorr_tpartial[pair][ncol],
transform_size);
}
// transpose vertical pairs
if (corr_pairs[pair][2] != 0) {
for (int chn = firstColor; chn <= numcol; chn++){
for (int ncol = firstColor; ncol <= numcol; ncol++) if (tcorr_tpartial[pair][ncol] != null) {
for (int i = 0; i < transpose_indices.length; i++) {
double d = tcorr_partial[pair][chn][transpose_indices[i][0]];
tcorr_partial[pair][chn][transpose_indices[i][0]] = tcorr_partial[pair][chn][transpose_indices[i][1]];
tcorr_partial[pair][chn][transpose_indices[i][1]] = d;
double d = tcorr_partial[pair][ncol][transpose_indices[i][0]];
tcorr_partial[pair][ncol][transpose_indices[i][0]] = tcorr_partial[pair][ncol][transpose_indices[i][1]];
tcorr_partial[pair][ncol][transpose_indices[i][1]] = d;
//transpose_indices
}
}
......@@ -2540,16 +2525,16 @@ public class ImageDtt {
// make symmetrical around the disparity direction (horizontal) (here using just average, not mul/sum mixture)
// symmetry can be added to result, not individual (if sum - yes, but with multiplication - not)
if (corr_sym && (clt_mismatch == null)){ // when measuring clt_mismatch symmetry should be off !
for (int chn = firstColor; chn <= numcol; chn++){
for (int ncol = firstColor; ncol <= numcol; ncol++) if (tcorr_tpartial[pair][ncol] != null) {
for (int i = 1 ; i < transform_size; i++){
int indx1 = (transform_size - 1 - i) * corr_size;
int indx2 = (transform_size - 1 + i) * corr_size;
for (int j = 0; j< corr_size; j++){
int indx1j = indx1 + j;
int indx2j = indx2 + j;
tcorr_partial[pair][chn][indx1j] =
0.5* (tcorr_partial[pair][chn][indx1j] + tcorr_partial[pair][chn][indx2j]);
tcorr_partial[pair][chn][indx2j] = tcorr_partial[pair][chn][indx1j];
tcorr_partial[pair][ncol][indx1j] =
0.5* (tcorr_partial[pair][ncol][indx1j] + tcorr_partial[pair][ncol][indx2j]);
tcorr_partial[pair][ncol][indx2j] = tcorr_partial[pair][ncol][indx1j];
}
}
}
......
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