Fixed crash on OSX wit OMP

see issue 757
This commit is contained in:
Oliver Duis
2011-06-24 23:12:41 +02:00
parent 4dd7a47040
commit a6989bb63b
4 changed files with 21 additions and 13 deletions

View File

@@ -25,18 +25,22 @@
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
static LUTf dirwt;
static void __attribute__((constructor)) setup_dirwt()
LUTf RawImageSource::initInvGrad()
{
dirwt (0x10000);
LUTf invGrad (0x10000);
//set up directional weight function
for (int i=0; i<0x10000; i++)
dirwt[i] = 1.0/SQR(1.0+i);
invGrad[i] = 1.0/SQR(1.0+i);
return invGrad;
}
void RawImageSource::fast_demo(int winx, int winy, int winw, int winh) {
LUTf RawImageSource::invGrad = RawImageSource::initInvGrad();
void RawImageSource::fast_demosaic(int winx, int winy, int winw, int winh) {
//int winx=0, winy=0;
//int winw=W, winh=H;
@@ -47,7 +51,7 @@ void RawImageSource::fast_demo(int winx, int winy, int winw, int winh) {
float progress = 0.0;
#define bord 4
const int bord=4;
int clip_pt = 4*65535*initialGain;
@@ -193,10 +197,10 @@ void RawImageSource::fast_demo(int winx, int winy, int winw, int winh) {
} else {
//compute directional weights using image gradients
wtu=dirwt[(abs(rawData[i+1][j]-rawData[i-1][j])+abs(rawData[i][j]-rawData[i-2][j])+abs(rawData[i-1][j]-rawData[i-3][j])) >>2];
wtd=dirwt[(abs(rawData[i-1][j]-rawData[i+1][j])+abs(rawData[i][j]-rawData[i+2][j])+abs(rawData[i+1][j]-rawData[i+3][j])) >>2];
wtl=dirwt[(abs(rawData[i][j+1]-rawData[i][j-1])+abs(rawData[i][j]-rawData[i][j-2])+abs(rawData[i][j-1]-rawData[i][j-3])) >>2];
wtr=dirwt[(abs(rawData[i][j-1]-rawData[i][j+1])+abs(rawData[i][j]-rawData[i][j+2])+abs(rawData[i][j+1]-rawData[i][j+3])) >>2];
wtu=invGrad[(abs(rawData[i+1][j]-rawData[i-1][j])+abs(rawData[i][j]-rawData[i-2][j])+abs(rawData[i-1][j]-rawData[i-3][j])) >>2];
wtd=invGrad[(abs(rawData[i-1][j]-rawData[i+1][j])+abs(rawData[i][j]-rawData[i+2][j])+abs(rawData[i+1][j]-rawData[i+3][j])) >>2];
wtl=invGrad[(abs(rawData[i][j+1]-rawData[i][j-1])+abs(rawData[i][j]-rawData[i][j-2])+abs(rawData[i][j-1]-rawData[i][j-3])) >>2];
wtr=invGrad[(abs(rawData[i][j-1]-rawData[i][j+1])+abs(rawData[i][j]-rawData[i][j+2])+abs(rawData[i][j+1]-rawData[i][j+3])) >>2];
//store in rgb array the interpolated G value at R/B grid points using directional weighted average
green[i][j]=(int)((wtu*rawData[i-1][j]+wtd*rawData[i+1][j]+wtl*rawData[i][j-1]+wtr*rawData[i][j+1])/(wtu+wtd+wtl+wtr));