周末在实验室加班到2点，大家都很困，可怜的孩子们哪，期间除了好几个错，调试啊，修改啊，查资料啊，终于成功了，非常有成就感，基于ADI的Blackfin ADSP-BF592的电子显微镜系统-图像放大实现，整个系统实现的难点被我们攻克！！！

#include "highgui.h"                 //Includes
#pragma comment(lib,"highgui.lib")   //Link to .lib
#pragma comment(lib,"cxcore.lib")    //Link to .lib
int main()
{
     IplImage *img;     //Original image
     IplImage *img_s;   //Scaled image
     int i,j;
     double xs=6,ys=6;
     img=cvLoadImage("cell.bmp",-1);   //Load the original image
     img_s=cvCreateImage(cvSize((int)img->width*xs,(int)img->height*ys),img->depth,img->nChannels);//Apply memory for scaled image
   
     double xm,ym;
     unsigned char vff0,vff1,vff2,vcf0,vcf1,vcf2,vfc0,vfc1,vfc2,vcc0,vcc1,vcc2;
     unsigned char v0,v1,v2;
     for(i=0;i<img_s->height;i++){
         for(j=0;j<img_s->width;j++){
              //Middle pixel中间像素
              xm=(img->width-1)*j/(double)img_s->width;
              ym=(img->height-1)*i/(double)img_s->height;
              //4 neighbor pixels of 3 color 
  vff0=img->imageData[((int)floor(ym))*img->widthStep+((int)floor(xm))*img->nChannels+0];   
  vff1=img->imageData[((int)floor(ym))*img->widthStep+((int)floor(xm))*img->nChannels+1];
      vff2=img->imageData[((int)floor(ym))*img->widthStep+((int)floor(xm))*img->nChannels+2];
      vcf0=img->imageData[((int)floor(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+0];
      vcf1=img->imageData[((int)floor(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+1];
      vcf2=img->imageData[((int)floor(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+2];
       vfc0=img->imageData[((int)ceil(ym))*img->widthStep+((int)floor(xm))*img->nChannels+0];
       vfc1=img->imageData[((int)ceil(ym))*img->widthStep+((int)floor(xm))*img->nChannels+1];
      vfc2=img->imageData[((int)ceil(ym))*img->widthStep+((int)floor(xm))*img->nChannels+2];
      vcc0=img->imageData[((int)ceil(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+0];
         vcc1=img->imageData[((int)ceil(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+1];
      vcc2=img->imageData[((int)ceil(ym))*img->widthStep+((int)ceil(xm))*img->nChannels+2];
              //Perform linear interpolation执行内插
              v0=vff0+(vcf0-vff0)*(xm-(int)xm)+(vfc0+(vcc0-vfc0)*(xm-(int)xm)-vff0-(vcf0-vff0)*(xm-(int)xm))*(ym-(int)ym);
              v1=vff1+(vcf1-vff1)*(xm-(int)xm)+(vfc1+(vcc1-vfc1)*(xm-(int)xm)-vff1-(vcf1-vff1)*(xm-(int)xm))*(ym-(int)ym);
              v2=vff2+(vcf2-vff2)*(xm-(int)xm)+(vfc2+(vcc2-vfc2)*(xm-(int)xm)-vff2-(vcf2-vff2)*(xm-(int)xm))*(ym-(int)ym);
              //Set pixel of scaled image
              img_s->imageData[i*img_s->widthStep+j*img_s->nChannels+0]=v0;
              img_s->imageData[i*img_s->widthStep+j*img_s->nChannels+1]=v1;
              img_s->imageData[i*img_s->widthStep+j*img_s->nChannels+2]=v2;
         }
     }
     cvSaveImage("img.jpg",img_s);
     cvNamedWindow("Scaled image",CV_WINDOW_AUTOSIZE);
     cvShowImage("Scaled image",img_s);   
     cvWaitKey(1000000); 
cvReleaseImage(&img);
cvReleaseImage(&img_s);
return 0;
}

呵呵，具体的原理可在本系统的第一次介绍中有，感兴趣的朋友可以提点意见！！！