visual-c++ - OpenCV 手动将 RGB 转换为 YCbCr，反之亦然 (Visual C++)

Question

我想手动将 RGB 图像转换为 ycbcr 图像，反之亦然。但有一个错误，我找不到它。

我的图像看起来不正常。 这是我的代码:

void YCbCrToRGB(IplImage* ScrY, IplImage* ScrCb, IplImage* ScrCr, IplImage* DesR, IplImage* DesG, IplImage* DesB){

    for(int i=0; i < ScrY->height; i++){
        for(int j=0; j < ScrY->width; j++){
            double Y = (double)(ScrY->imageData + ScrY->widthStep*i)[j];
            double Cb = (double)(ScrCb->imageData + ScrCb->widthStep*i)[j];
            double Cr = (double)(ScrCr->imageData + ScrCr->widthStep*i)[j];

            Cb = Cb -128;
            Cr = Cr -128;
            int r;
            int g;
            int b;

            (DesR->imageData + DesR->widthStep*i)[j] = (int)(1 * Y + 0 * Cb + 1.4 * Cr);
            (DesG->imageData + DesG->widthStep*i)[j] = (int)(1 * Y - 0.343 * Cb - 0.711 *Cr);
            (DesB->imageData + DesB->widthStep*i)[j] = (int)(1* Y + 1.765 * Cb + 0* Cr);
    }}

void RGBtoYCbCr(IplImage* ScrR, IplImage* ScrG, IplImage* ScrB, IplImage* DesY, IplImage* DesCb, IplImage* DesCr){
    for(int i=0; i < ScrR->height; i++){
        for(int j=0; j < ScrR->width; j++){
            double R = (double)(ScrR->imageData + ScrR->widthStep*i)[j];
            double G = (double)(ScrG->imageData + ScrG->widthStep*i)[j];
            double B = (double)(ScrB->imageData + ScrB->widthStep*i)[j];

            (DesY->imageData + DesY->widthStep*i)[j]   =       0.299    *R + 0.587  *G  + 0.114  *B;
            (DesCb->imageData + DesCb->widthStep*i)[j] =      -0.1687   *R - 0.3313 *G  + 0.5    *B + 128;
            (DesCr->imageData + DesCr->widthStep*i)[j] =       0.5      *R - 0.4187 *G  - 0.0813 *B + 128;          
        }
    }}

int _tmain(int argc, _TCHAR* argv[])
{
    try {
        IplImage* img = cvLoadImage( "C:\\sad-cat.jpg",1 ); 
        cvNamedWindow( "Example1", CV_WINDOW_AUTOSIZE ); 
        cvShowImage( "Example1", img );

        IplImage *r = cvCreateImage(cvGetSize(img), img->depth, 1);
        IplImage *g = cvCreateImage(cvGetSize(img), img->depth, 1);
        IplImage *b = cvCreateImage(cvGetSize(img), img->depth, 1);

        cvSplit(img, b, g, r, NULL);

        IplImage *y  = cvCreateImage(cvGetSize(img), img->depth, 1);
        IplImage *cb = cvCreateImage(cvGetSize(img), img->depth, 1);
        IplImage *cr = cvCreateImage(cvGetSize(img), img->depth, 1);


        RGBtoYCbCr(r,g,b,y,cb,cr);

        IplImage *ycbcr = cvCreateImage(cvGetSize(img), img->depth, 3);
        cvMerge(y,cb,cr,NULL,ycbcr);

        cvNamedWindow( "YCbCr from RGB", CV_WINDOW_AUTOSIZE ); 
        cvShowImage( "YCbCr from RGB", ycbcr );



        YCbCrToRGB(y,cb,cr,r,g,b);

        IplImage *RGBfromYCbCr = cvCreateImage(cvGetSize(img), img->depth, 3);
        cvMerge(r,g,b,NULL,RGBfromYCbCr);

        cvNamedWindow( "RGB from YCbCr", CV_WINDOW_AUTOSIZE ); 
        cvShowImage( "RGB from YCbCr", RGBfromYCbCr );

        cvWaitKey(0);
        return 0;
    }
    catch( exception& e){
        std::cout<<("An error occurred.") << std::endl;
        std::cout << e.what() <<std::endl; // Print the error message. 
         cvWaitKey(0);
    }  
}

这是带有语法突出显示的链接:http://paste2.org/p/1569904

我认为这是一个类型转换错误或类似的事情。 非常感谢您

PS:请参阅公式和示例图片的评论(我不允许发布两个以上的链接或图像)

Answer 1

是的，这是一个选角问题。

        double Y = (double)(ScrY->imageData + ScrY->widthStep*i)[j];
        double Cb = (double)(ScrCb->imageData + ScrCb->widthStep*i)[j];
        double Cr = (double)(ScrCr->imageData + ScrCr->widthStep*i)[j];

应该是

        double Y = (uchar)(ScrY->imageData + ScrY->widthStep*i)[j];
        double Cb = (uchar)(ScrCb->imageData + ScrCb->widthStep*i)[j];
        double Cr = (uchar)(ScrCr->imageData + ScrCr->widthStep*i)[j];

对 RGBtoYCbCr 的前三行进行相同的更改。

此外，您还存在舍入错误。您应该在分配之前对结果进行四舍五入:

        (DesY->imageData + DesY->widthStep*i)[j]   = round(     0.299    *R + 0.587  *G  + 0.114  *B);
        (DesCb->imageData + DesCb->widthStep*i)[j] = round(    -0.1687   *R - 0.3313 *G  + 0.5    *B) + 128;
        (DesCr->imageData + DesCr->widthStep*i)[j] = round(     0.5      *R - 0.4187 *G  - 0.0813 *B) + 128;          

最后，cvMerge(r,g,b,NULL,RGBfromYCbCr);应该是cvMerge(b,g,r,NULL,RGBfromYCbCr);因为cvShowImage 假定 BGR，而不是 RGB。