图片压缩 dct 变换

[qyzxeqxw]

下面是出问题的代码
#include <iostream>
#include <cmath>
#include "opencv/cv.h"
#include "opencv/highgui.h"
#include "opencv/cxcore.h"
#define cvCvtPlaneToPix cvMerge
using std::cout;
using std::endl;
double PSNR_B = 0;
double PSNR_G = 0;
double PSNR_R = 0;
double PSNR;


int main( int argc, char** argv )
{
IplImage *src;
CvScalar SrcPixel;
CvScalar DstPixel;
double sumB = 0;
double sumG = 0;
double sumR = 0;
double mseB;
double mseG;
double mseR;
char* filename = argc >= 2 ? argv[1] : (char*)

"d:\\肌肉.jpg";
src= cvLoadImage( filename,1 ) ;
if( !src )
{
printf("can't open the image...\n");
return -1;
}
// YUV颜色空间
IplImage* YUVImage = cvCreateImage(cvSize(src->width,src->height), src->depth, 3);
IplImage* dst = cvCreateImage(cvSize(src->width,src->height), src->depth, 3);
// YUV颜色空间各通道
IplImage* Y = cvCreateImage(cvSize(src->width,src->height), IPL_DEPTH_8U, 1);
IplImage* U = cvCreateImage(cvSize(src->width,src->height), IPL_DEPTH_8U, 1);
IplImage* V = cvCreateImage(cvSize(src->width,src->height), IPL_DEPTH_8U, 1);


//cvNamedWindow( "Origin Image", CV_WINDOW_AUTOSIZE );
cvCvtColor(src, YUVImage, CV_BGR2YUV); //BGR→YUV
cvSplit( YUVImage, Y, U, V, NULL);//分割通道

CvMat* MatY = cvCreateMat(Y->height,Y->width,CV_64FC1);
CvMat* MatU = cvCreateMat(V->height,U->width,CV_64FC1);
CvMat* MatV = cvCreateMat(V->height,V->width,CV_64FC1);

CvMat* DCTY = cvCreateMat(Y->height, Y->width,CV_64FC1);
CvMat* DCTU = cvCreateMat(U->height, U->width,CV_64FC1);
CvMat* DCTV = cvCreateMat(V->height, V->width,CV_64FC1);

cvScale( Y, MatY );
cvScale( U, MatU );
cvScale( V, MatV );

cvDCT(MatY, DCTY, CV_DXT_FORWARD); //余弦变换
cvDCT(MatU, DCTU, CV_DXT_FORWARD); //余弦变换
cvDCT(MatV, DCTV, CV_DXT_FORWARD); //余弦变换

//Y 通道压缩
for(int i = 0; i < Y->height; i++)
{
for(int j = 0; j < Y->width; j++)
{
double element = CV_MAT_ELEM( *DCTY, double, i, j );
if ( abs(element) < 10 )
CV_MAT_ELEM( *DCTY, double, i, j ) = 0;
}
}

// U 通道压缩
for(int i = 0; i < U->height; i++)
{
for(int j = 0; j < U->width; j++)
{
double element = CV_MAT_ELEM( *DCTU, double, i, j );
if ( abs(element) < 20 )
CV_MAT_ELEM( *DCTU, double, i, j ) = 0;
}
}

// V 通道压缩
for(int i = 0; i < V->height; i++)
{
for(int j = 0; j < V->width; j++)
{
double element = CV_MAT_ELEM( *DCTV, double, i, j );
if ( abs(element) < 20 )
CV_MAT_ELEM( *DCTV, double, i, j ) = 0;
}
}
cvDCT(DCTY, MatY, CV_DXT_INVERSE); //余弦反变换
cvDCT(DCTU, MatU, CV_DXT_INVERSE);
cvDCT(DCTV, MatV, CV_DXT_INVERSE);

cvScale( MatY, Y );
cvScale( MatU, U );
cvScale( MatV, V );

cvMerge( Y, U, V, NULL, YUVImage );
cvCvtColor( YUVImage, dst, CV_YUV2BGR); //YUV→BGR

// 计算前后两幅图像的PSNR值
for(int i = 0; i < src->height; i++)
{
for(int j = 0; j < src->width; j++)
{
SrcPixel = cvGet2D( src, i, j );
DstPixel = cvGet2D( dst, i, j );
sumB += ( SrcPixel.val[0] - DstPixel.val[0] ) * ( SrcPixel.val[0] - DstPixel.val[0] );
sumG += ( SrcPixel.val[1] - DstPixel.val[1] ) * ( SrcPixel.val[1] - DstPixel.val[1] );
sumR += ( SrcPixel.val[2] - DstPixel.val[2] ) * ( SrcPixel.val[2] - DstPixel.val[2] );

}
}
mseB = sumB / ((src->width) * (src->height)); //计算均方差
mseG = sumG / ((src->width) * (src->height));
mseR = sumR / ((src->width) * (src->height));

PSNR_B = 10.0 * ( log10( 255.0 * 255.0 / mseB ) );
PSNR_G = 10.0 * ( log10( 255.0 * 255.0 / mseG ) );
PSNR_R = 10.0 * ( log10( 255.0 * 255.0 / mseR ) );
PSNR=(PSNR_B + PSNR_G + PSNR_R) / 3;

cout << "B通道PSNR=" << PSNR_B << endl;
cout << "G通道PSNR=" << PSNR_G << endl;
cout << "R通道PSNR=" << PSNR_R << endl;
cout << "PSNR=" << PSNR << endl;

cvShowImage( "YImage", Y );
cvShowImage( "UImage", U );
cvShowImage( "VImage", V );
cvShowImage( "DstImage", dst );
cvSaveImage( "lena.bmp", dst);

while( 1 )
{
if( cvWaitKey(0) == 27 ) break;
}

cvDestroyWindow("YImage");
cvDestroyWindow("UImage");
cvDestroyWindow("VImage");
cvDestroyWindow("DstImage");


cvReleaseImage(&Y);
cvReleaseImage(&U);
cvReleaseImage(&V);
cvReleaseImage(&src);
cvReleaseImage(&dst);
cvReleaseImage(&YUVImage);

return 0;
}

在下面的路径
char* filename = argc >= 2 ? argv[1] : (char*)

"d:\\肌肉.jpg";
src= cvLoadImage( filename,1 ) ;
if( !src )
{
printf("can't open the image...\n");
return -1;
}
"d:\\肌肉.jpg"; 这个是没问题的，但是如果我使用 "d:\\倒立.jpg";（该位置确实有这个图片）它就会出现

图片压缩.exe 中的 0x753fb9bc 处有未经处理的异常: Microsoft C++ 异常: 内存位置 0x0038e03c 处的 cv::Exception。

问题

[赵4老师]

崩溃的时候在弹出的对话框按相应按钮进入调试，按Alt+7键查看Call Stack里面从上到下列出的对应从里层到外层的函数调用历史。双击某一行可将光标定位到此次调用的源代码或汇编指令处。