debugging artifacts in vert/hor correlations caused by pixel-locking for

polynomial argmax and residual Bayer modulation

pom.xml

@@ -296,9 +296,12 @@
             <plugin>
                 <groupId>org.apache.maven.plugins</groupId>
                 <artifactId>maven-checkstyle-plugin</artifactId>
-                 <version>2.14</version>
+                 <!-- <version>2.14</version>-->
+                 <version>3.6.1</version>
                 <configuration>
                     <configLocation>config/sun_checks.xml</configLocation>
+                    <source>1.8</source>
+                    <target>1.8</target>
                 </configuration>
             </plugin>
         </plugins>

src/main/java/com/elphel/imagej/calibration/AberrationsOld.java

@@ -1414,7 +1414,8 @@ Panel panel1,panel2;
 /* Filter pattern coefficients to make sure they all match between quadrtants (match to the center one?)*/
      boolean patternsMatchedInitially=matchPatterns(quarter_patterns,quarter_patterns[4]);    // uses pattern in the center quadrant
      if (DEBUG_LEVEL>1) {
-          System.out.println(patternsMatchedInitially?"Sim: All quadrant wave vectors matched initially, no correction needed":"Some quadrant wave vectors were adjusted to match");
+          System.out.println(patternsMatchedInitially?"Sim: All quadrant wave vectors matched initially, no correction needed":
+        	  "Some quadrant wave vectors were adjusted to match");
      }
      
       patternCorr=calcPatternNonLinear(quarter_patterns); // divide results by ,(FFTSize/2)^2

src/main/java/com/elphel/imagej/correction/Eyesis_Correction.java

@@ -89,6 +89,7 @@ import com.elphel.imagej.jp4.JP46_Reader_camera;
 import com.elphel.imagej.lwir.LwirReader;
 import com.elphel.imagej.readers.EyesisTiff;
 import com.elphel.imagej.tensorflow.TensorflowInferModel;
+import com.elphel.imagej.tileprocessor.Clt1d;
 import com.elphel.imagej.tileprocessor.DttRad2;
 import com.elphel.imagej.tileprocessor.ErsCorrection;
 import com.elphel.imagej.tileprocessor.ImageDtt;
@@ -707,7 +708,9 @@ private Panel panel1,
 			addButton("Inter Series",               panelClt5, color_process);
 			addButton("Inter Accumulate",           panelClt5, color_process);
 			addButton("Inter Noise",                panelClt5, color_process);
+			addButton("Inter Debug Noise",          panelClt5, color_report);
 			addButton("Noise Stats",                panelClt5, color_process);
+			addButton("Test 1D",                    panelClt5, color_process);
 			addButton("Colorize Depth",             panelClt5, color_process);
 			plugInFrame.add(panelClt5);
 		}
@@ -5144,7 +5147,15 @@ private Panel panel1,
         DEBUG_LEVEL=MASTER_DEBUG_LEVEL;
     	EYESIS_CORRECTIONS.setDebug(DEBUG_LEVEL);
         CLT_PARAMETERS.batch_run = true;
-        intersceneNoise();
+        intersceneNoise(false); // boolean  bayer_artifacts_debug);
+    	return;
+    	
+/* ======================================================================== */
+    } else if (label.equals("Inter Debug Noise")) {
+        DEBUG_LEVEL=MASTER_DEBUG_LEVEL;
+    	EYESIS_CORRECTIONS.setDebug(DEBUG_LEVEL);
+        CLT_PARAMETERS.batch_run = true;
+        intersceneNoise(true); // boolean  bayer_artifacts_debug);
     	return;
 
 /* ======================================================================== */
@@ -5161,6 +5172,13 @@ private Panel panel1,
         CLT_PARAMETERS.batch_run = true;
         coloriseDepthMap();
     	return;
+/* ======================================================================== */
+    } else if (label.equals("Test 1D")) {
+        DEBUG_LEVEL=MASTER_DEBUG_LEVEL;
+    	EYESIS_CORRECTIONS.setDebug(DEBUG_LEVEL);
+        CLT_PARAMETERS.batch_run = true;
+        test1d();
+    	return;
     	
 /* ======================================================================== */
     } else if (label.equals("Inter LMA")) {
@@ -6821,7 +6839,7 @@ private Panel panel1,
 		return true;
 	}
 	
-	public boolean intersceneNoise() {
+	public boolean intersceneNoise(boolean  bayer_artifacts_debug) {
 		long startTime=System.nanoTime();
 		// load needed sensor and kernels files
 		if (!prepareRigImages()) return false;
@@ -6861,16 +6879,17 @@ private Panel panel1,
 		
 		try {
 			TWO_QUAD_CLT.intersceneNoise(
-					QUAD_CLT, // QuadCLT quadCLT_main,
-					CLT_PARAMETERS,  // EyesisCorrectionParameters.DCTParameters           dct_parameters,
-					DEBAYER_PARAMETERS, //EyesisCorrectionParameters.DebayerParameters     debayerParameters,
-					COLOR_PROC_PARAMETERS, //EyesisCorrectionParameters.ColorProcParameters colorProcParameters,
-					CHANNEL_GAINS_PARAMETERS, //CorrectionColorProc.ColorGainsParameters     channelGainParameters,
-					RGB_PARAMETERS, //EyesisCorrectionParameters.RGBParameters             rgbParameters,
+					QUAD_CLT,                   // QuadCLT quadCLT_main,
+					CLT_PARAMETERS,             // EyesisCorrectionParameters.DCTParameters           dct_parameters,
+					DEBAYER_PARAMETERS,         //EyesisCorrectionParameters.DebayerParameters     debayerParameters,
+					COLOR_PROC_PARAMETERS,      //EyesisCorrectionParameters.ColorProcParameters colorProcParameters,
+					CHANNEL_GAINS_PARAMETERS,   //CorrectionColorProc.ColorGainsParameters     channelGainParameters,
+					RGB_PARAMETERS,             //EyesisCorrectionParameters.RGBParameters             rgbParameters,
 					EQUIRECTANGULAR_PARAMETERS, // EyesisCorrectionParameters.EquirectangularParameters equirectangularParameters,
-					PROPERTIES,  // Properties                                           properties,
-					THREADS_MAX, //final int          threadsMax,  // maximal number of threads to launch
-					UPDATE_STATUS, //final boolean    updateStatus,
+					PROPERTIES,                 // Properties                                           properties,
+					bayer_artifacts_debug,      // boolean  bayer_artifacts_debug
+					THREADS_MAX,                // final int          threadsMax,  // maximal number of threads to launch
+					UPDATE_STATUS,              // final boolean    updateStatus,
 					DEBUG_LEVEL);
 		} catch (Exception e) {
 			// TODO Auto-generated catch block
@@ -6956,6 +6975,11 @@ private Panel panel1,
 				Runtime.getRuntime().freeMemory()+" (of "+Runtime.getRuntime().totalMemory()+")");
 		return true;
 	}
+	public boolean test1d() {
+		Clt1d clt1d = new Clt1d(CLT_PARAMETERS.transform_size); // CLT_PARAMETERS
+		clt1d.test1d(CLT_PARAMETERS);
+		return true;
+	}
 	
 	public boolean coloriseDepthMap() {
 		ImagePlus imp_sel = WindowManager.getCurrentImage();

src/main/java/com/elphel/imagej/gpu/GPUTileProcessor.java

@@ -1867,7 +1867,23 @@ public class GPUTileProcessor {
         public void execCorr2D_combine(
         		boolean init_corr,    // initialize output tiles (false - add to current)
         		int     num_pairs_in, // typically 6 - number of pairs per tile (tile task should have same number per each tile
-        		int     pairs_mask    // selected pairs (0x3 - horizontal, 0xc - vertical, 0xf - quad, 0x30 - cross)
+        		int     pairs_mask)    // selected pairs (0x3 - horizontal, 0xc - vertical, 0xf - quad, 0x30 - cross)
+        {
+        	execCorr2D_combine (init_corr, num_pairs_in, pairs_mask, false);
+        }
+        /**
+         * Combine intra-scene correlations in transform domain (possible to accumulate more)          
+         * @param init_corr - true: init output to 0 before accumulating, false: add to current value
+         * @param num_pairs_in - typically ==6 - number of pairs per tile (tile task should have same number per each tile).
+         * This number should match correlations in tasks
+         * @param pairs_mask - selected pairs (0x3 - horizontal, 0xc - vertical, 0xf - quad, 0x30 - cross)
+         * @param no_transpose_vertical - do not transpose vertical/diagonal
+         */
+        public void execCorr2D_combine(
+        		boolean init_corr,    // initialize output tiles (false - add to current)
+        		int     num_pairs_in, // typically 6 - number of pairs per tile (tile task should have same number per each tile
+        		int     pairs_mask,    // selected pairs (0x3 - horizontal, 0xc - vertical, 0xf - quad, 0x30 - cross)
+        		boolean no_transpose_vertical        		
         		) {
         	if (GPU_CORR2D_COMBINE_kernel == null)
         	{
@@ -1881,17 +1897,18 @@ public class GPUTileProcessor {
         	
     		int [] GridFullWarps =    {1, 1, 1};
         	int [] ThreadsFullWarps = {1, 1, 1};
+        	int init_corr_combo = (init_corr ? 1 : 0) + (no_transpose_vertical ? 2 : 0);
         	Pointer kernelParameters = Pointer.to(
             		Pointer.to(new int[] { num_corr_combo_tiles }), // num_task_tiles }), // int   num_tiles           // number of tiles in task
-            		Pointer.to(new int[] { num_pairs }),           // int               num_pairs,          // num pairs per tile (should be the same)
-        			Pointer.to(new int[] { init_corr ? 1 : 0 }),   // int               init_output,        // 1- reset output tiles to zero before accumulating
-            		Pointer.to(new int[] { pairs_mask }),          // int               pairs_mask,         // selected pairs
-        			Pointer.to(gpu_corr_indices),                  // int             * gpu_corr_indices,   // packed tile+pair
-        			Pointer.to(gpu_corr_combo_indices),            // int             * gpu_combo_indices,  // output if not null: packed tile+pairs_mask
-        			Pointer.to(new int[] { corr_stride_td }),      // const size_t      corr_stride,        // (in floats) stride for the input TD correlations
-        			Pointer.to(gpu_corrs_td),                      // float           * gpu_corrs,          // input correlation tiles
-        			Pointer.to(new int[] { corr_stride_combo_td }),// const size_t      corr_stride_combo,  // (in floats) stride for the output TD
-        			Pointer.to(gpu_corrs_combo_td));               // float           * gpu_corrs_combo);   // combined correlation output (one per tile)
+            		Pointer.to(new int[] { num_pairs }),            // int               num_pairs,          // num pairs per tile (should be the same)
+        			Pointer.to(new int[] { init_corr_combo }),      // int               init_output,        // 1- reset output tiles to zero before accumulating
+            		Pointer.to(new int[] { pairs_mask }),           // int               pairs_mask,         // selected pairs
+        			Pointer.to(gpu_corr_indices),                   // int             * gpu_corr_indices,   // packed tile+pair
+        			Pointer.to(gpu_corr_combo_indices),             // int             * gpu_combo_indices,  // output if not null: packed tile+pairs_mask
+        			Pointer.to(new int[] { corr_stride_td }),       // const size_t      corr_stride,        // (in floats) stride for the input TD correlations
+        			Pointer.to(gpu_corrs_td),                       // float           * gpu_corrs,          // input correlation tiles
+        			Pointer.to(new int[] { corr_stride_combo_td }), // const size_t      corr_stride_combo,  // (in floats) stride for the output TD
+        			Pointer.to(gpu_corrs_combo_td));                // float           * gpu_corrs_combo);   // combined correlation output (one per tile)
         	cuCtxSynchronize();
         	// Call the kernel function
         	cuLaunchKernel(GPU_CORR2D_COMBINE_kernel,

src/main/java/com/elphel/imagej/tileprocessor/Correlation2d.java

@@ -512,13 +512,30 @@ public class Correlation2d {
      */
     public double [][] combineCorrelationsTD(
     		double [][][] corr_combo_td, // vertical will be transposed, other diagonal flipped vertically (should be separate)
-    		int           pairs_mask // vertical
+    		int           pairs_mask  // vertical
+    		) {
+    	return combineCorrelationsTD(corr_combo_td, pairs_mask, false);
+    }
+
+    /**
+     * Combine compatible correlations in TD (for 6 pairs requires 2 calls): vertical will be transposed,
+     * (all quadrants transposed, quadrants 1 and 2 - swapped), "diagonal other" (#5) will be flipped
+     * vertically (quadrants 2 and 3 - negated) 
+     * @param corr_combo_td per-pair array of the TD representation of correlation pairs, mixed color components
+     * @param pairs_mask bitmask of the pairs to combinde
+     * @param no_transpose_vertical Do not transpose vertical pairs (used when combining just vertical together)
+     * @return TD representation of the combined 2D correlation
+     */
+    public double [][] combineCorrelationsTD(
+    		double [][][] corr_combo_td, // vertical will be transposed, other diagonal flipped vertically (should be separate)
+    		int           pairs_mask, // vertical
+    		boolean       no_transpose_vertical
     		) {
     	if (corr_combo_td != null) {
     		double [][]tcorr = new double [4][transform_len];
     		int num_combined = 0;
     		for (int npair = 0; npair < corr_combo_td.length; npair++) if ((((pairs_mask >> npair) & 1) != 0 ) && (corr_combo_td[npair] !=null)) {
-    			if (isHorizontalPair(npair) || isDiagonalMainPair(npair)) {
+    			if (isHorizontalPair(npair) || isDiagonalMainPair(npair) || (isVerticalPair(npair) && no_transpose_vertical)) {
     				for (int q = 0; q < 4; q++) {
     					for (int i = 0; i < transform_len; i++) {
     						tcorr[q][i] += corr_combo_td[npair][q][i];

src/main/java/com/elphel/imagej/tileprocessor/DttRad2.java

@@ -63,6 +63,34 @@ public class DttRad2 {
 		return fold_k;
 	}
 
+/*	
+	public double [] fold1D(double [] x, double offs) {
+		int n2 = x.length;
+		int n = n2/2;
+		int nh = n/2; // 4
+		int t = ilog2(n)-1;
+		
+		double [] y = new double[n];
+		double [] w = new double [n2];
+		for (int i = 0; i < n2; i++) {
+			w[i]=Math.sin(Math.PI*i/n2 + 0.5 + offs); // sign?
+		}
+		for (int i = 0; i < nh; i++) { // 0.. 3
+			int icr = n + nh - 1 - i;
+			int id =  n + nh + i;
+			int ia =  i;
+			int ibr = n -1 -i;
+			
+			y[i] =   -x[icr]*w[icr] - x[id]* w[id];
+			y[i+nh] = x[ia]* w[ia]  - x[ibr]*w[ibr];
+		}
+		return y;
+	}
+*/	
+	
+	
+	
+	
 	public DttRad2 (int maxN){ // n - maximal
 		setup_arrays(maxN); // always setup arrays for fast calculations
 	}
@@ -482,13 +510,55 @@ public class DttRad2 {
 								 qdata[3][(i-1)*transform_size + j - 1]);
 			}
 		}
-
-
 		return rslt;
-
 	}
 
 
+	public  double [] corr_unfold_tile1(
+			double [][]  qdata, // [4][transform_size*transform_size] data after DCT2 (pixel domain)
+			int          transform_size
+			)
+	{
+		int corr_pixsize = transform_size * 2 - 1;
+		double corr_pixscale = 0.25;
+		double [] rslt = new double [corr_pixsize*corr_pixsize];
+		rslt[corr_pixsize*transform_size - transform_size] = corr_pixscale * qdata[0][0]; // center
+		for (int j = 1; j < transform_size; j++) { //  for i == 0
+			rslt[corr_pixsize*transform_size - transform_size + j] = corr_pixscale * (qdata[0][j] + qdata[1][j-1]);
+			rslt[corr_pixsize*transform_size - transform_size - j] = corr_pixscale * (qdata[0][j] - qdata[1][j-1]);
+		}
+		for (int i = 1; i < transform_size; i++) {
+			rslt[corr_pixsize*(transform_size + i) - transform_size] =
+					corr_pixscale * (qdata[0][i*transform_size] + qdata[2][(i-1)*transform_size]);
+			rslt[corr_pixsize*(transform_size - i) - transform_size] =
+					corr_pixscale * (qdata[0][i*transform_size] - qdata[2][(i-1)*transform_size]);
+			for (int j = 1; j < transform_size; j++) {
+				rslt[corr_pixsize*(transform_size + i) - transform_size + j] =
+						corr_pixscale * (qdata[0][i*    transform_size + j] +
+								 qdata[1][i*    transform_size + j - 1] +
+								 qdata[2][(i-1)*transform_size + j] +
+								 qdata[3][(i-1)*transform_size + j - 1]);
+
+				rslt[corr_pixsize*(transform_size + i) - transform_size - j] =
+						corr_pixscale * ( qdata[0][i*    transform_size + j] +
+								 -qdata[1][i*    transform_size + j - 1] +
+								  qdata[2][(i-1)*transform_size + j] +
+								 -qdata[3][(i-1)*transform_size + j - 1]);
+				rslt[corr_pixsize*(transform_size - i) - transform_size + j] =
+						corr_pixscale * (qdata[0][i*    transform_size + j] +
+								 qdata[1][i*    transform_size + j - 1] +
+								 -qdata[2][(i-1)*transform_size + j] +
+								 -qdata[3][(i-1)*transform_size + j - 1]);
+				rslt[corr_pixsize*(transform_size - i) - transform_size - j] =
+						corr_pixscale * (qdata[0][i*    transform_size + j] +
+								 -qdata[1][i*    transform_size + j - 1] +
+								 -qdata[2][(i-1)*transform_size + j] +
+								 qdata[3][(i-1)*transform_size + j - 1]);
+			}
+		}
+		return rslt;
+	}
+	
 
 
 

src/main/java/com/elphel/imagej/tileprocessor/ImageDttParameters.java

@@ -102,6 +102,7 @@ public class ImageDttParameters {
 	public double  corr_wndx_blur =         5.0;   // 100% to 0 % vertical transition range
 	
 	public boolean pcorr_use =              false; // use group phase correlation for disparity calculation in existing code
+	public boolean pcorr_use_hv =           true;  // use group phase correlation to combine hor and vert pairs
 	public double  pcorr_sigma_mono =       0.15;  // correlation sigma for monochrome images  (after normalization)
 	public double  pcorr_sigma =            0.8;  // correlation sigma for Bayder images  (after normalization)
 	public double  pcorr_sigma_rb =         0.5;  // correlation sigma extra for R and B (before normalization)
@@ -341,8 +342,10 @@ public class ImageDttParameters {
 
 			gd.addTab("Corr Intra","Parameters Group 2D Phase correlation");
 
-			gd.addCheckbox    ("Use group phase correlation for disparity calculation",           this.pcorr_use,
+			gd.addCheckbox    ("Use group phase correlation for disparity calculation",                this.pcorr_use,
 					"Default false, for compatibility with existing code/ old configs");
+			gd.addCheckbox    ("Use group phase correlation to combine hor and vert pairs separately", this.pcorr_use_hv,
+					"Use even when hor are not combined with vert");
 			gd.addNumericField("Correlation sigma for monochrome images",                         this.pcorr_sigma_mono,  3, 6, "pix",
 					"after normalization");
 			gd.addNumericField("Correlation sigma for Bayer images",                              this.pcorr_sigma,  3, 6, "pix",
@@ -588,6 +591,7 @@ public class ImageDttParameters {
 			this.corr_wndx_blur =        gd.getNextNumber();
 
 			this.pcorr_use=              gd.getNextBoolean();
+			this.pcorr_use_hv=           gd.getNextBoolean();
 			this.pcorr_sigma_mono =      gd.getNextNumber();
 			this.pcorr_sigma =           gd.getNextNumber();
 			this.pcorr_sigma_rb =        gd.getNextNumber();
@@ -739,6 +743,7 @@ public class ImageDttParameters {
 		properties.setProperty(prefix+"corr_wndx_blur",       this.corr_wndx_blur +"");
 
 		properties.setProperty(prefix+"pcorr_use",            this.pcorr_use +"");
+		properties.setProperty(prefix+"pcorr_use_hv",         this.pcorr_use_hv +"");
 		properties.setProperty(prefix+"pcorr_sigma_mono",     this.pcorr_sigma_mono +"");
 		properties.setProperty(prefix+"pcorr_sigma",          this.pcorr_sigma +"");
 		properties.setProperty(prefix+"pcorr_sigma_rb",       this.pcorr_sigma_rb +"");
@@ -896,6 +901,7 @@ public class ImageDttParameters {
 		if (properties.getProperty(prefix+"corr_wndx_blur")!=null)       this.corr_wndx_blur=Double.parseDouble(properties.getProperty(prefix+"corr_wndx_blur"));
 
 		if (properties.getProperty(prefix+"pcorr_use")!=null)            this.pcorr_use=Boolean.parseBoolean(properties.getProperty(prefix+"pcorr_use"));
+		if (properties.getProperty(prefix+"pcorr_use_hv")!=null)         this.pcorr_use_hv=Boolean.parseBoolean(properties.getProperty(prefix+"pcorr_use_hv"));
 		if (properties.getProperty(prefix+"pcorr_sigma_mono")!=null)     this.pcorr_sigma_mono=Double.parseDouble(properties.getProperty(prefix+"pcorr_sigma_mono"));
 		if (properties.getProperty(prefix+"pcorr_sigma")!=null)          this.pcorr_sigma=Double.parseDouble(properties.getProperty(prefix+"pcorr_sigma"));
 		if (properties.getProperty(prefix+"pcorr_sigma_rb")!=null)       this.pcorr_sigma_rb=Double.parseDouble(properties.getProperty(prefix+"pcorr_sigma_rb"));
@@ -1048,6 +1054,7 @@ public class ImageDttParameters {
 		idp.corr_wndx_blur =         this.corr_wndx_blur;
 
 		idp.pcorr_use =              this.pcorr_use;
+		idp.pcorr_use_hv =           this.pcorr_use_hv;
 		idp.pcorr_sigma_mono =       this.pcorr_sigma_mono;
 		idp.pcorr_sigma =            this.pcorr_sigma;
 		idp.pcorr_sigma_rb =         this.pcorr_sigma_rb;

src/main/java/com/elphel/imagej/tileprocessor/QuadCLTCPU.java

@@ -8350,7 +8350,7 @@ public class QuadCLTCPU {
 			  if (update_disp_from_latest) {
 				  tp.clt_3d_passes.get(combo_scan).updateDisparity();
 			  }
-			  if (clt_parameters.ly_lma_ers) {
+			  if (clt_parameters.ly_lma_ers) { // next is implemented in both QuadCLTCPU and QuadCLT !
 				  CLTMeasureLY( // perform single pass according to prepared tiles operations and disparity // USED in lwir
 						  clt_parameters,
 						  combo_scan,     // final int           scanIndex,

src/main/java/com/elphel/imagej/tileprocessor/TwoQuadCLT.java

@@ -8671,6 +8671,7 @@ if (debugLevel > -100) return true; // temporarily !
 			EyesisCorrectionParameters.RGBParameters             rgbParameters,
 			EyesisCorrectionParameters.EquirectangularParameters equirectangularParameters,
 			Properties                                           properties,
+			boolean                                              bayer_artifacts_debug,
 			final int        threadsMax,  // maximal number of threads to launch
 			final boolean    updateStatus,
 			final int        debugLevel)  throws Exception
@@ -8681,7 +8682,7 @@ if (debugLevel > -100) return true; // temporarily !
 //		double []            noise_sigma_level = {3.0, 1.5, 1.0};  // amount, sigma, offset
 //		double []            noise_sigma_level = {5.0, 1.5, 1.0};  // amount, sigma, offset
 		double []            noise_sigma_level = null;
-		if (clt_parameters.inp.noise_scale > 0.0) {
+		if (clt_parameters.inp.noise_scale >= 0.0) {// <0 - will generate no-noise data
 			noise_sigma_level = new double[] {
 					clt_parameters.inp.noise_scale,
 					clt_parameters.inp.noise_sigma,
@@ -8743,14 +8744,23 @@ if (debugLevel > -100) return true; // temporarily !
 		OpticalFlow opticalFlow = new OpticalFlow(
 				threadsMax, // int            threadsMax,  // maximal number of threads to launch
 				updateStatus); // boolean        updateStatus);
-		
-		opticalFlow.IntersceneNoise(
-				clt_parameters,            // CLTParameters       clt_parameters,
-				ref_only,                  // boolean              ref_only, // process only reference frame (false - inter-scene)
-				colorProcParameters,       // ColorProcParameters colorProcParameters,
-				ref_quadCLT,               // QuadCLT [] scenes, // ordered by increasing timestamps
-				noise_sigma_level,         // double []            noise_sigma_level,
-				clt_parameters.inp.noise_debug_level); // clt_parameters.ofp.debug_level_optical - 1); // 1); // -1); // int debug_level);
+		if (bayer_artifacts_debug) {
+			opticalFlow.intersceneNoiseDebug(
+					clt_parameters,            // CLTParameters       clt_parameters,
+					ref_only,                  // boolean              ref_only, // process only reference frame (false - inter-scene)
+					colorProcParameters,       // ColorProcParameters colorProcParameters,
+					ref_quadCLT,               // QuadCLT [] scenes, // ordered by increasing timestamps
+					noise_sigma_level,         // double []            noise_sigma_level,
+					clt_parameters.inp.noise_debug_level); // clt_parameters.ofp.debug_level_optical - 1); // 1); // -1); // int debug_level);
+		} else {
+			opticalFlow.intersceneNoise(
+					clt_parameters,            // CLTParameters       clt_parameters,
+					ref_only,                  // boolean              ref_only, // process only reference frame (false - inter-scene)
+					colorProcParameters,       // ColorProcParameters colorProcParameters,
+					ref_quadCLT,               // QuadCLT [] scenes, // ordered by increasing timestamps
+					noise_sigma_level,         // double []            noise_sigma_level,
+					clt_parameters.inp.noise_debug_level); // clt_parameters.ofp.debug_level_optical - 1); // 1); // -1); // int debug_level);
+		}
 		System.out.println("End of intersceneNoise()");
 	}