计算两端yuv视频流中每一帧的ssim值

方法同上一篇，仅仅不多这里在计算的时候用了opencv1的接口，出现了一些问题。最后总算攻克了。

程序：

#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <cv.h>
#include <highgui.h>
#define NUM_FRAME 100 //仅仅处理前100帧，依据视频帧数可改动
void CalcPsnr(const char *in1,const char *in2)
{
cv::VideoCapture vc1;
cv::VideoCapture vc2;
bool flag1 = vc1.open(in1);
bool flag2 = vc2.open(in2);
if (!flag1||!flag2)
{
printf("avi file open error \n");
system("pause");
exit(-1);
}int frmCount1 = vc1.get(CV_CAP_PROP_FRAME_COUNT);
int frmCount2 = vc2.get(CV_CAP_PROP_FRAME_COUNT);
printf("frmCount: %d \n", frmCount1);
printf("frmCount: %d \n", frmCount2);
for (int i = 0; i < frmCount1; i++)
{
printf("%d/%d \n", i + 1, frmCount1);
cv::Mat image_ref;
vc1 >> image_ref;
cv::Mat image_obj;
vc2 >> image_obj;
double mse = 0;
double div_r = 0;
double div_g = 0;
double div_b = 0;
int width = image_ref.cols;
int height = image_ref.rows;
double psnr = 0;
for (int v = 0; v < height; v++)
{
for (int u = 0; u < width; u++)
{
div_r = image_ref.at<cv::Vec3b>(v, u)[0] - image_obj.at<cv::Vec3b>(v, u)[0];
div_g = image_ref.at<cv::Vec3b>(v, u)[1] - image_obj.at<cv::Vec3b>(v, u)[1];
div_b = image_ref.at<cv::Vec3b>(v, u)[2] - image_obj.at<cv::Vec3b>(v, u)[2];
mse += ((div_r*div_r + div_b*div_b + div_g*div_g) / 3);}
}
mse = mse / (width*height);
psnr = 10 * log10(255 * 255 / mse);
printf("%lf\n", mse);
printf("%lf\n", psnr);
}
return;
}
void  CalcSsim(const char *in1,const char *in2)
{
CvCapture* capture1 = cvCreateFileCapture(in1);
CvCapture* capture2 = cvCreateFileCapture(in2);
int i = 0;
// default settings
double C1 = 6.5025, C2 = 58.5225;IplImage
*img1 = NULL, *img2 = NULL, *img1_img2 = NULL,
*img1_temp = NULL, *img2_temp = NULL,
*img1_sq = NULL, *img2_sq = NULL,
*mu1 = NULL, *mu2 = NULL,
*mu1_sq = NULL, *mu2_sq = NULL, *mu1_mu2 = NULL,
*sigma1_sq = NULL, *sigma2_sq = NULL, *sigma12 = NULL,
*ssim_map = NULL, *temp1 = NULL, *temp2 = NULL, *temp3 = NULL;
while (1)
{
printf("%d/%d \n", ++i, NUM_FRAME);/***************************** INITS **********************************/
img1_temp = cvQueryFrame(capture1);
img2_temp = cvQueryFrame(capture2);if (img1_temp == NULL || img2_temp == NULL)
return;int x = img1_temp->width, y = img1_temp->height;
int nChan = img1_temp->nChannels, d = IPL_DEPTH_32F;
CvSize size = cvSize(x, y);img1 = cvCreateImage(size, d, nChan);
img2 = cvCreateImage(size, d, nChan);cvConvert(img1_temp, img1);
cvConvert(img2_temp, img2);
/*cvReleaseImage(&img1_temp);
cvReleaseImage(&img2_temp);*/img1_sq = cvCreateImage(size, d, nChan);
img2_sq = cvCreateImage(size, d, nChan);
img1_img2 = cvCreateImage(size, d, nChan);cvPow(img1, img1_sq, 2);
cvPow(img2, img2_sq, 2);
cvMul(img1, img2, img1_img2, 1);mu1 = cvCreateImage(size, d, nChan);
mu2 = cvCreateImage(size, d, nChan);mu1_sq = cvCreateImage(size, d, nChan);
mu2_sq = cvCreateImage(size, d, nChan);
mu1_mu2 = cvCreateImage(size, d, nChan);sigma1_sq = cvCreateImage(size, d, nChan);
sigma2_sq = cvCreateImage(size, d, nChan);
sigma12 = cvCreateImage(size, d, nChan);temp1 = cvCreateImage(size, d, nChan);
temp2 = cvCreateImage(size, d, nChan);
temp3 = cvCreateImage(size, d, nChan);ssim_map = cvCreateImage(size, d, nChan);
/*************************** END INITS **********************************///////////////////////////////////////////////////////////////////////////
// PRELIMINARY COMPUTING
cvSmooth(img1, mu1, CV_GAUSSIAN, 11, 11, 1.5);
cvSmooth(img2, mu2, CV_GAUSSIAN, 11, 11, 1.5);cvPow(mu1, mu1_sq, 2);
cvPow(mu2, mu2_sq, 2);
cvMul(mu1, mu2, mu1_mu2, 1);cvSmooth(img1_sq, sigma1_sq, CV_GAUSSIAN, 11, 11, 1.5);
cvAddWeighted(sigma1_sq, 1, mu1_sq, -1, 0, sigma1_sq);cvSmooth(img2_sq, sigma2_sq, CV_GAUSSIAN, 11, 11, 1.5);
cvAddWeighted(sigma2_sq, 1, mu2_sq, -1, 0, sigma2_sq);cvSmooth(img1_img2, sigma12, CV_GAUSSIAN, 11, 11, 1.5);
cvAddWeighted(sigma12, 1, mu1_mu2, -1, 0, sigma12);//////////////////////////////////////////////////////////////////////////
// FORMULA  // (2*mu1_mu2 + C1)
cvScale(mu1_mu2, temp1, 2);
cvAddS(temp1, cvScalarAll(C1), temp1);// (2*sigma12 + C2)
cvScale(sigma12, temp2, 2);
cvAddS(temp2, cvScalarAll(C2), temp2);// ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
cvMul(temp1, temp2, temp3, 1);// (mu1_sq + mu2_sq + C1)
cvAdd(mu1_sq, mu2_sq, temp1);
cvAddS(temp1, cvScalarAll(C1), temp1);// (sigma1_sq + sigma2_sq + C2)
cvAdd(sigma1_sq, sigma2_sq, temp2);
cvAddS(temp2, cvScalarAll(C2), temp2);// ((mu1_sq + mu2_sq + C1).*(sigma1_sq + sigma2_sq + C2))
cvMul(temp1, temp2, temp1, 1);// ((2*mu1_mu2 + C1).*(2*sigma12 + C2))./((mu1_sq + mu2_sq + C1).*(sigma1_sq + sigma2_sq + C2))
cvDiv(temp3, temp1, ssim_map, 1);CvScalar index_scalar = cvAvg(ssim_map);// through observation, there is approximately
// 1% error max with the original matlab program  /*cout << "(R, G & B SSIM index)" << std::endl;
cout << index_scalar.val[2] << endl;
cout << index_scalar.val[1] << endl;
cout << index_scalar.val[0] << endl;*/cvReleaseImage(&img1_sq);
cvReleaseImage(&img2_sq);
cvReleaseImage(&img1_img2);
cvReleaseImage(&mu1);
cvReleaseImage(&mu2);
cvReleaseImage(&mu1_sq);
cvReleaseImage(&mu2_sq);
cvReleaseImage(&mu1_mu2);
cvReleaseImage(&sigma1_sq);
cvReleaseImage(&sigma2_sq);
cvReleaseImage(&sigma12);
cvReleaseImage(&temp1);
cvReleaseImage(&temp2);
cvReleaseImage(&temp3);
cvReleaseImage(&ssim_map);
//double ssim=max(max(index_scalar.val[0], index_scalar.val[1]), index_scalar.val[2]);
double ssim = (index_scalar.val[0] + index_scalar.val[1] + index_scalar.val[2]) / 3;
std::cout << ssim << std::endl;}
cvReleaseCapture(&capture1);
cvReleaseCapture(&capture2);
return;
}
void DisplayYUV2RGB(const char *dir,const char *in,int _w,int _h)
{
int w = _w;
int h = _h;
printf("yuv file w: %d, h: %d \n", w, h);
FILE* pFileIn = fopen(in, "rb+");
int bufLen = w*h * 3 / 2;
unsigned char* pYuvBuf = new unsigned char[bufLen];
int iCount = 0;for (int i = 0; i<NUM_FRAME; i++)
{
fread(pYuvBuf, bufLen*sizeof(unsigned char), 1, pFileIn);cv::Mat yuvImg;
yuvImg.create(h * 3 / 2, w, CV_8UC1);
memcpy(yuvImg.data, pYuvBuf, bufLen*sizeof(unsigned char));
cv::Mat rgbImg;
cv::cvtColor(yuvImg, rgbImg, CV_YUV2BGR_I420);cv::imshow("img", rgbImg);
char s[100];
sprintf(s,"%spic%d%s",dir,i,".jpg");
cv::imwrite(s, rgbImg);
cv::waitKey(1);printf("%d \n", iCount++);
}
delete[] pYuvBuf;
fclose(pFileIn);
}
void Image_to_video(const char* in, const char* out)
{
int num = 1;
CvSize size = cvSize(1024, 768);  //视频帧格式的大小
double fps = 30; //每秒钟的帧率
CvVideoWriter *writer = cvCreateVideoWriter(out, CV_FOURCC('D', 'I', 'V', 'X'), fps, size); //创建视频文件
char cname[100];
sprintf(cname, in, num); //载入图片的目录，图片的名称编号是1開始1，2,3,4,5.。。。
IplImage *src = cvLoadImage(cname);
if (!src)
{
return;
}
IplImage *src_resize = cvCreateImage(size, 8, 3); //创建视频文件格式大小的图片
cvNamedWindow("avi");
while (src)
{
cvShowImage("avi", src_resize);
cvWaitKey(1);
cvResize(src, src_resize); //将读取的图片设置为视频格式大小同样
cvWriteFrame(writer, src_resize); //保存图片为视频流格式
cvReleaseImage(&src); //释放空间
num++;
sprintf(cname, in, num);
src = cvLoadImage(cname);       //循环读取数据
}
cvReleaseVideoWriter(&writer);
cvReleaseImage(&src_resize);
}
int main(int argc, char *argv[])
{
const char *out = "C:/Users/jiang/Desktop/output/book_virtual08.yuv";
const char *dir = "C:/Users/jiang/Desktop/output/tupian1/";
DisplayYUV2RGB(dir, out, 1024, 768);
const char *outImagename = "C:/Users/jiang/Desktop/output/tupian1/pic%d.jpg";
const char *outVideoname = "C:/Users/jiang/Desktop/output/3outfile.avi";
Image_to_video(outImagename, outVideoname);out = "C:/Users/jiang/Desktop/bookarrival/bookarrival_c_8.yuv";
dir = "C:/Users/jiang/Desktop/output/tupian1/";
DisplayYUV2RGB(dir, out, 1024, 768);
outImagename = "C:/Users/jiang/Desktop/output/tupian1/pic%d.jpg";
outVideoname = "C:/Users/jiang/Desktop/output/4outfile.avi";
Image_to_video(outImagename, outVideoname);const char *in1 = "C:/Users/jiang/Desktop/output/3outfile.avi";
const char *in2 = "C:/Users/jiang/Desktop/output/4outfile.avi";
CalcPsnr(in1, in2);
CalcSsim(in1, in2);getchar();
}