在VisualC++中是否有快速调整图片大小的函数?我想要一份原始图片的副本,这将是x倍的小。然后我想把它放在黑色位图的中心。黑色位图将在第一张图片的大小。
这是原始图片:https://www.dropbox.com/s/6she1kvcby53qgz/term.bmp
这就是我想要得到的效果:https://www.dropbox.com/s/8ah59z0ip6tq4wd/term2.bmp
在我的程序中,我使用的是皮昂的图书馆。这些图像是CPylonImage类型的。
发布于 2014-02-05 13:03:33
一些处理可移植大小的简单代码:
在所有情况下,都适用以下图例:
int数组对于线性插值:
我目前在我的硬盘上找不到这个(新硬盘的问题),所以包括了双线性:
对于双线性插值:
双线性插值函数

int* resizeBilinear(int* pixels, int w1, int h1, int w2, int h2)
{
int* retval = new int[w2*h2] ;
int a, b, c, d, x, y, index ;
float x_ratio = ((float)(w1-1))/w2 ;
float y_ratio = ((float)(h1-1))/h2 ;
float x_diff, y_diff, blue, red, green ;
int offset = 0 ;
for (int i=0;i<h2;i++) {
for (int j=0;j<w2;j++) {
x = (int)(x_ratio * j) ;
y = (int)(y_ratio * i) ;
x_diff = (x_ratio * j) - x ;
y_diff = (y_ratio * i) - y ;
index = (y*w1+x) ;
a = pixels[index] ;
b = pixels[index+1] ;
c = pixels[index+w1] ;
d = pixels[index+w1+1] ;
// blue element
// Yb = Ab(1-w1)(1-h1) + Bb(w1)(1-h1) + Cb(h1)(1-w1) + Db(wh)
blue = (a&0xff)*(1-x_diff)*(1-y_diff) + (b&0xff)*(x_diff)*(1-y_diff) +
(c&0xff)*(y_diff)*(1-x_diff) + (d&0xff)*(x_diff*y_diff);
// green element
// Yg = Ag(1-w1)(1-h1) + Bg(w1)(1-h1) + Cg(h1)(1-w1) + Dg(wh)
green = ((a>>8)&0xff)*(1-x_diff)*(1-y_diff) + ((b>>8)&0xff)*(x_diff)*(1-y_diff) +
((c>>8)&0xff)*(y_diff)*(1-x_diff) + ((d>>8)&0xff)*(x_diff*y_diff);
// red element
// Yr = Ar(1-w1)(1-h1) + Br(w1)(1-h1) + Cr(h1)(1-w1) + Dr(wh)
red = ((a>>16)&0xff)*(1-x_diff)*(1-y_diff) + ((b>>16)&0xff)*(x_diff)*(1-y_diff) +
((c>>16)&0xff)*(y_diff)*(1-x_diff) + ((d>>16)&0xff)*(x_diff*y_diff);
retval[offset++] =
0xff000000 | // hardcoded alpha
((((int)red)<<16)&0xff0000) |
((((int)green)<<8)&0xff00) |
((int)blue) ;
}
}
return retval;
} 对于最近的邻居:
int* resizePixels(int* pixels,int w1,int h1,int w2,int h2)
{
int* retval = new int[w2*h2] ;
// EDIT: added +1 to remedy an early rounding problem
int x_ratio = (int)((w1<<16)/w2) +1;
int y_ratio = (int)((h1<<16)/h2) +1;
//int x_ratio = (int)((w1<<16)/w2) ;
//int y_ratio = (int)((h1<<16)/h2) ;
int x2, y2 ;
for (int i=0;i<h2;i++) {
for (int j=0;j<w2;j++) {
x2 = ((j*x_ratio)>>16) ;
y2 = ((i*y_ratio)>>16) ;
retval[(i*w2)+j] = pixels[(y2*w1)+x2] ;
}
}
return retval;
}现在,上面的代码被设计成可移植的,并且应该在C++、C、C#和Java中使用很少的修改(我在需要的时候对所有4种代码都使用了上面的代码),这消除了对外部库的需求,并且允许您处理任何像素数组,只要您可以用上面代码的格式来表示它们。
要将被操纵的图像放置在黑色背景的中间,只需将数据复制到正确位置的原始数据数组中,并使用黑色的值填充所有其他位置:)
希望这会有所帮助,因为我目前没有时间对此发表评论,不过,如果需要,我可以在今天或明天晚些时候发表评论:)
https://stackoverflow.com/questions/21572460
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