Every file in this commit has a memory leak of some kind or another. I think

all of them are minor and should not effect properly running code. But if I
were you I would give libstocks and the stockticker plugin in Today a wide
berth. That library is atrocious.

1 files changed, 4 insertions, 1 deletions

diff --git a/libopie2/opieui/oimageeffect.cpp b/libopie2/opieui/oimageeffect.cpp
index be47eb2..93719bc 100644
--- a/libopie2/opieui/oimageeffect.cpp
+++ b/libopie2/opieui/oimageeffect.cpp
@@ -1958,195 +1958,198 @@ bool OImageEffect::blendOnLower(
       --i; --b;
       *b += ( ((*i - *b) * a) >> 8 );
       i -= 2; b -= 2;
 #endif
     } while (k--);
   }
 
   return true;
 }
 
 // For selected icons
 QImage& OImageEffect::selectedImage( QImage &img, const QColor &col )
 {
     return blend( col, img, 0.5);
 }
 
 //
 // ===================================================================
 // Effects originally ported from ImageMagick for PixiePlus, plus a few
 // new ones. (mosfet 12/29/01)
 // ===================================================================
 //
 
 void OImageEffect::normalize(QImage &img)
 {
     int *histogram, threshold_intensity, intense;
     int x, y, i;
 
     unsigned int gray_value;
     unsigned int *normalize_map;
     unsigned int high, low;
 
     // allocate histogram and normalize map
     histogram = (int *)calloc(MaxRGB+1, sizeof(int));
     normalize_map = (unsigned int *)malloc((MaxRGB+1)*sizeof(unsigned int));
     if(!normalize_map || !histogram){
         owarn << "Unable to allocate normalize histogram and map" << oendl;
         free(normalize_map);
         free(histogram);
         return;
     }
 
     // form histogram
     if(img.depth() > 8){  // DirectClass
         unsigned int *data;
         for(y=0; y < img.height(); ++y){
             data = (unsigned int *)img.scanLine(y);
             for(x=0; x < img.width(); ++x){
                 gray_value = intensityValue(data[x]);
                 histogram[gray_value]++;
             }
         }
     }
     else{ // PsudeoClass
         unsigned char *data;
         unsigned int *cTable = img.colorTable();
         for(y=0; y < img.height(); ++y){
             data = (unsigned char *)img.scanLine(y);
             for(x=0; x < img.width(); ++x){
                 gray_value = intensityValue(*(cTable+data[x]));
                 histogram[gray_value]++;
             }
         }
     }
 
     // find histogram boundaries by locating the 1 percent levels
     threshold_intensity = (img.width()*img.height())/100;
     intense = 0;
     for(low=0; low < MaxRGB; ++low){
         intense+=histogram[low];
         if(intense > threshold_intensity)
             break;
     }
     intense=0;
     for(high=MaxRGB; high != 0; --high){
         intense+=histogram[high];
         if(intense > threshold_intensity)
             break;
     }
 
     if (low == high){
         // Unreasonable contrast;  use zero threshold to determine boundaries.
         threshold_intensity=0;
         intense=0;
         for(low=0; low < MaxRGB; ++low){
             intense+=histogram[low];
             if(intense > threshold_intensity)
                 break;
         }
         intense=0;
         for(high=MaxRGB; high != 0; --high)
         {
             intense+=histogram[high];
             if(intense > threshold_intensity)
                 break;
         }
-        if(low == high)
+        if(low == high) {
+            free(histogram);
+	    free(normalize_map);
             return;  // zero span bound
     }
+    }
 
     // Stretch the histogram to create the normalized image mapping.
     for(i=0; i <= MaxRGB; i++){
         if (i < (int) low)
             normalize_map[i]=0;
         else{
             if(i > (int) high)
                 normalize_map[i]=MaxRGB;
             else
                 normalize_map[i]=(MaxRGB-1)*(i-low)/(high-low);
         }
     }
     // Normalize
     if(img.depth() > 8){ // DirectClass
         unsigned int *data;
         for(y=0; y < img.height(); ++y){
             data = (unsigned int *)img.scanLine(y);
             for(x=0; x < img.width(); ++x){
                 data[x] = qRgba(normalize_map[qRed(data[x])],
                                 normalize_map[qGreen(data[x])],
                                 normalize_map[qBlue(data[x])],
                                 qAlpha(data[x]));
             }
         }
     }
     else{ // PsudeoClass
         int colors = img.numColors();
         unsigned int *cTable = img.colorTable();
         for(i=0; i < colors; ++i){
             cTable[i] = qRgba(normalize_map[qRed(cTable[i])],
                               normalize_map[qGreen(cTable[i])],
                               normalize_map[qBlue(cTable[i])],
                               qAlpha(cTable[i]));
         }
     }
     free(histogram);
     free(normalize_map);
 }
 
 
 void OImageEffect::equalize(QImage &img)
 {
     int *histogram, *map, *equalize_map;
     int x, y, i, j;
 
     unsigned int high, low;
 
     // allocate histogram and maps
     histogram = (int *)calloc(MaxRGB+1, sizeof(int));
     map = (int *)malloc((MaxRGB+1)*sizeof(unsigned int));
     equalize_map  = (int *)malloc((MaxRGB+1)*sizeof(unsigned int));
 
     if(!histogram || !map || !equalize_map){
         owarn << "Unable to allocate equalize histogram and maps" << oendl;
         free(histogram);
         free(map);
         free(equalize_map);
         return;
     }
     // form histogram
     if(img.depth() > 8){ // DirectClass
         unsigned int *data;
         for(y=0; y < img.height(); ++y){
             data = (unsigned int *)img.scanLine(y);
             for(x=0; x < img.width(); ++x){
                 histogram[intensityValue(data[x])]++;
             }
         }
     }
     else{ // PsudeoClass
         unsigned char *data;
         unsigned int *cTable = img.colorTable();
         for(y=0; y < img.height(); ++y){
             data = (unsigned char *)img.scanLine(y);
             for(x=0; x < img.width(); ++x){
                 histogram[intensityValue(*(cTable+data[x]))]++;
             }
         }
     }
 
     // integrate the histogram to get the equalization map.
     j=0;
     for(i=0; i <= MaxRGB; i++){
         j+=histogram[i];
         map[i]=j;
     }
     free(histogram);
     if(map[MaxRGB] == 0){
         free(equalize_map);
         free(map);
         return;
     }
     // equalize
     low=map[0];
     high=map[MaxRGB];
     for(i=0; i <= MaxRGB; i++)