调整图片大小vc ++

Che*_*ola 0 c++ pylons visual-c++ image-resizing

是否有任何功能可以快速调整Visual C++中的图片大小?我想制作一张原始图片的副本,它会小x倍.然后我想把它放在黑色位图的中心.黑色位图的大小与第一张图片的大小相同.

这是原始图片:https://www.dropbox.com/s/6she1kvcby53qgz/term.bmp

这是我想要收到的效果:https: //www.dropbox.com/s/8ah59z0ip6tq4wd/term2.bmp

在我的程序中,我使用Pylon的库.图像采用CPylonImage类型.

GMa*_*cci 5

一些简单的代码来处理可移植的大小:

对于所有情况,以下图例适用:

  • w1 - 原始图像的宽度
  • h1 - 原始图像的高度
  • pixels - 包含int像素数据的数组
  • w2 - 所需的宽度
  • h2 - 所需的高度
  • retval - 这是返回值,它是一个包含被操纵图像的新像素数组.

对于线性插值:

我目前在我的驱动器上找不到这个(新硬盘的问题)所以包含了Bilinear:

对于双线性插值:

双线性插值函数

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;
} 
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对于最近邻:

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;
}
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现在,上面的代码被设计为可移植的,并且应该在C++,C,C#和Java中进行很少的修改(我在需要时使用了上面的代码),这样就不需要外部库了,并且允许你处理任何像素数组,只要您能够以上述代码的格式表示它们.

要将操纵的图像放置在黑色背景的中间,您需要做的就是将数据复制到正确位置的原始数组中,并使用黑色值填充所有其他位置:)

希望这会有所帮助,因为我目前还没有时间对它进行全面评论,但是我可以在今天或明天稍后需要:)