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+/*
+ * Copyright (C) 2017 European Synchrotron Radiation Facility
+ * Grenoble, France
+ *
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ *
+ */
+
+/**
+ *
+ * Compute the spatial gradient of an image.
+ *
+ * slice: input image
+ * slice_grad: output gradient
+ * sizeX: number of columns of the image
+ * sizeY: number of rows of the image
+ *
+ **/
+kernel void kern_gradient2D(
+ global float* slice,
+ global float2* slice_grad,
+ int sizeX,
+ int sizeY)
+{
+
+ int gidx = (int) get_global_id(0);
+ int gidy = (int) get_global_id(1);
+
+ if ((gidx < sizeX) && (gidy < sizeY))
+ {
+ // Note the direction inconstancy ! (JK 07/2018)
+
+ float val_y = (gidx == (sizeX-1))? 0: slice[gidy*sizeX+gidx+1] - slice[gidy*sizeX+gidx];
+ float val_x = (gidy == (sizeY-1))? 0: slice[(gidy+1)*sizeX+gidx] - slice[(gidy)*sizeX+gidx];
+
+ slice_grad[gidy*sizeX+gidx].x = val_x;
+ slice_grad[gidy*sizeX+gidx].y = val_y;
+ }
+}
+
+/**
+ *
+ * Compute the spatial divergence of an image gradient.
+ *
+ * slice_grad: input gradient-like image
+ * slice: output image
+ * sizeX: number of columns of the input
+ * sizeY: number of rows of the input
+ *
+ **/
+kernel void kern_divergence2D(
+ global float2* slice_grad,
+ global float* slice,
+ int sizeX,
+ int sizeY)
+{
+ int gidx = (int) get_global_id(0);
+ int gidy = (int) get_global_id(1);
+
+ if (gidx < sizeX && gidy < sizeY)
+ {
+ float val_x, val_y;
+ val_y = (gidx == 0)?
+ slice_grad[(gidy)*sizeX+gidx].y :
+ slice_grad[(gidy)*sizeX+gidx].y - slice_grad[(gidy)*sizeX+gidx-1].y;
+ val_x = (gidy == 0)?
+ slice_grad[(gidy)*sizeX+gidx].x:
+ slice_grad[(gidy)*sizeX+gidx].x - slice_grad[(gidy-1)*sizeX+gidx].x;
+ slice[gidy*sizeX+gidx] = val_x + val_y;
+ }
+}