Index: trunk/psLib/test/image/tst_psImageConvolve.c
===================================================================
--- trunk/psLib/test/image/tst_psImageConvolve.c	(revision 1940)
+++ trunk/psLib/test/image/tst_psImageConvolve.c	(revision 1984)
@@ -5,6 +5,6 @@
  *  @author Robert DeSonia, MHPCC
  *
- *  @version $Revision: 1.3 $ $Name: not supported by cvs2svn $
- *  @date $Date: 2004-10-01 20:58:32 $
+ *  @version $Revision: 1.4 $ $Name: not supported by cvs2svn $
+ *  @date $Date: 2004-10-06 21:40:13 $
  *
  *  Copyright 2004 Maui High Performance Computing Center, University of Hawaii
@@ -22,8 +22,10 @@
 static int testKernelAlloc(void);
 static int testKernelGenerate(void);
+static int testImageConvolve(void);
 
 testDescription tests[] = {
                               {testKernelAlloc,731,"psKernelAlloc",0,false},
                               {testKernelGenerate,732,"psKernelGenerate",0,false},
+                              {testImageConvolve,733,"psImageConvolve",0,false},
                               {NULL}
                           };
@@ -287,2 +289,165 @@
     return 0;
 }
+
+static int testImageConvolve(void)
+{
+    const int r = 200;
+    const int c = 300;
+    int sum;
+
+    // approximate a normalized gaussian kernel.
+    psKernel* g = psKernelAlloc(-1,1,-1,1);
+    g->kernel[-1][-1] =
+        g->kernel[-1][1] =
+            g->kernel[1][-1] =
+                g->kernel[1][1] = 0.0113;
+    g->kernel[1][0] =
+        g->kernel[-1][0] =
+            g->kernel[0][-1] =
+                g->kernel[0][1] = 0.0838;
+    g->kernel[0][0] = 0.6193;
+
+    // create a normalized non-symetric kernel.
+    psKernel* nsk = psKernelAlloc(0,2,0,2);
+    sum = 0.0;
+    for (int i=0;i<2;i++) {
+        for (int j=0;j<2;j++) {
+            nsk->kernel[i][j] = i+j;
+            sum = i+j;
+        }
+    }
+    for (int i=0;i<2;i++) {
+        for (int j=0;j<2;j++) {
+            nsk->kernel[i][j] /= sum;
+        }
+    }
+
+
+    psImage* img = psImageAlloc(c,r,PS_TYPE_F32);
+    memset(img->data.F32[0],0,c*r*PSELEMTYPE_SIZEOF(PS_TYPE_F32));
+    img->data.F32[0][0] = 1.0f;
+    img->data.F32[r/2][c/2] = 1.0f;
+    img->data.F32[r-1][c/2] = 1.0f;
+
+    // test spacial convolution of gaussian
+    psLogMsg(__func__,PS_LOG_INFO,"Testing direct gaussian convolution");
+    psImage* out = psImageConvolve(NULL, img, g, true);
+
+    if (out == NULL) {
+        psError(__func__, "psImageConvolve returned a NULL for direct gaussian case.");
+        return 1;
+    }
+
+    if (out->numCols != c || out->numRows != r) {
+        psError(__func__, "psImageConvolve result image is %dx%d, but expected %dx%d.",
+                out->numCols, out->numRows,
+                c,r);
+        return 2;
+    }
+
+    if (out->type.type != PS_TYPE_F32) {
+        char* typeStr;
+        PS_TYPE_NAME(typeStr,out->type.type);
+        psError(__func__, "psImageConvolve result image is of type %s, not psF32.",
+                typeStr);
+        return 3;
+    }
+
+    // test values
+    for (int i=-1;i<1;i++) {
+        for (int j=-1;j<1;j++) {
+            if (fabsf(out->data.F32[r/2+i][c/2+j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        c/2+j,r/2+i,
+                        out->data.F32[r/2+i][c/2+j], g->kernel[i][j]);
+                return 4;
+            }
+            if (i >= 0 && j >= 0 && fabsf(out->data.F32[i][j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        j,i,
+                        out->data.F32[i][j], g->kernel[i][j]);
+                return 5;
+            }
+            if (i <= 0 && fabsf(out->data.F32[r-1+i][c/2+j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        c/2+j,r-1+i,
+                        out->data.F32[r-1+i][c/2+j], g->kernel[i][j]);
+                return 6;
+            }
+        }
+    }
+
+    // test fourier convolution of gaussian
+    psLogMsg(__func__,PS_LOG_INFO,"Testing fourier gaussian convolution");
+    psKernel* gg = psKernelAlloc(1,3,1,3);
+    gg->kernel[1][1] =
+        gg->kernel[1][3] =
+            gg->kernel[3][1] =
+                gg->kernel[3][3] = 0.0113;
+    gg->kernel[3][2] =
+        gg->kernel[1][2] =
+            gg->kernel[2][1] =
+                gg->kernel[2][3] = 0.0838;
+    gg->kernel[2][2] = 0.6193;
+    img->data.F32[0][0] = 0.0f;
+    img->data.F32[r/2][c/2] = 1.0f;
+    img->data.F32[r-1][c/2] = 0.0f;
+    psImage* out2 = psImageConvolve(out, img, gg, false);
+
+    if (out == NULL) {
+        psError(__func__, "psImageConvolve returned a NULL for gaussian case.");
+        return 10;
+    }
+
+    if (out != out2) {
+        psError(__func__, "psImageConvolve didn't recycle the supplied out image struct.");
+        return 11;
+    }
+
+    if (out->numCols != c || out->numRows != r) {
+        psError(__func__, "psImageConvolve result image is %dx%d, but expected %dx%d.",
+                out->numCols, out->numRows,
+                c,r);
+        return 12;
+    }
+
+    if (out->type.type != PS_TYPE_F32) {
+        char* typeStr;
+        PS_TYPE_NAME(typeStr,out->type.type);
+        psError(__func__, "psImageConvolve result image is of type %s, not psF32.",
+                typeStr);
+        return 13;
+    }
+
+    psImageWriteSection(out2,0,0,0,NULL,0,"out2.fits");
+    // test values
+    for (int i=-1;i<1;i++) {
+        for (int j=-1;j<1;j++) {
+            if (fabsf(out->data.F32[r/2+i][c/2+j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        c/2+j,r/2+i,
+                        out->data.F32[r/2+i][c/2+j], g->kernel[i][j]);
+                psImageWriteSection(out,0,0,0,NULL,0,"problem.fits");
+                return 14;
+            }
+            if (i >= 0 && j >= 0 && fabsf(out->data.F32[i][j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        j,i,
+                        out->data.F32[i][j], g->kernel[i][j]);
+                return 15;
+            }
+            if (i <= 0 && fabsf(out->data.F32[r-1+i][c/2+j] - g->kernel[i][j]) > 0.0001) {
+                psError(__func__,"Convolved image wrong at %d,%d.  Value is %g, expected %g.",
+                        c/2+j,r-1+i,
+                        out->data.F32[r-1+i][c/2+j], g->kernel[i][j]);
+                return 16;
+            }
+        }
+    }
+
+    psFree(g);
+    psFree(img);
+    psFree(nsk);
+    psFree(out);
+    return 0;
+}