代码，有参考别人的代码

// haha_mirror.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"

#include<iostream>


#include "cv.h"
#include "highgui.h"
#include "math.h"
#include "opencv2/core/core.hpp"

#pragma comment(lib,"opencv_core2410d.lib")              
#pragma comment(lib,"opencv_highgui2410d.lib")              
#pragma comment(lib,"opencv_imgproc2410d.lib")   



#define DOWNRESIZE 0 // 缩小
#define UPRESIZE   1 // 放大
#define HORAO      2 // 水平外凹
#define HORTU      3 // 水平外凸
#define LADDER     4 // 梯形变形
#define TRIANGLE   5 // 三角形变形
#define SSHAPE     6 // S形变形
#define WAVESHAPE  7 // 波浪形变形
#define Concentrated 8 //集中形变形
#define Scattered   9 // 散开形变形

#define RANGE     100 // 水平外凹或外凸的幅度
#define PI        3.1415926

using namespace std;
using namespace cv;

void MaxFrame(IplImage* frame)
{
	uchar* old_data = (uchar*)frame->imageData;
	uchar* new_data = new uchar[frame->widthStep * frame->height];

	int center_X = frame->width / 2;
	int center_Y = frame->height / 2;
	int radius = 400;
	int newX = 0;
	int newY = 0;

	int real_radius = (int)(radius / 2.0);
	for (int i = 0; i < frame->width; i++)
	{
		for (int j = 0; j < frame->height; j++)
		{
			int tX = i - center_X;
			int tY = j - center_Y;

			int distance = (int)(tX * tX + tY * tY);
			if (distance < radius * radius)
			{
				newX = (int)((float)(tX) / 2.0);
				newY = (int)((float)(tY) / 2.0);

				newX = (int) (newX * (sqrt((double)distance) / real_radius));
				newX = (int) (newX * (sqrt((double)distance) / real_radius));

				newX = newX + center_X;
				newY = newY + center_Y;

				new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3];
				new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1];
				new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2];
			}
			else
			{
				new_data[frame->widthStep * j + i * 3] =  old_data[frame->widthStep * j + i * 3];
				new_data[frame->widthStep * j + i * 3 + 1] =  old_data[frame->widthStep * j + i * 3 + 1];
				new_data[frame->widthStep * j + i * 3 + 2] =  old_data[frame->widthStep * j + i * 3 + 2];
			}
		}
	}
	memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height);
	delete[] new_data;
}


void MinFrame(IplImage* frame)
{
	uchar* old_data = (uchar*)frame->imageData;
	uchar* new_data = new uchar[frame->widthStep * frame->height];

	int center_X = frame->width / 2;
	int center_Y = frame->height / 2;

	int radius = 0;
	double theta = 0;
	int newX = 0;
	int newY = 0;

	for (int i = 0; i < frame->width; i++)
	{
		for (int j = 0; j < frame->height; j++)
		{
			int tX = i - center_X;
			int tY = j - center_Y;

			theta = atan2((double)tY, (double)tX);
			radius = (int)sqrt((double)(tX * tX) + (double) (tY * tY));
			int newR = (int)(sqrt((double)radius) * 12);
			newX = center_X + (int)(newR * cos(theta));
			newY = center_Y + (int)(newR * sin(theta));

			if (!(newX > 0 && newX < frame->width))
			{
				newX = 0;
			}
			if (!(newY > 0 && newY < frame->height))
			{
				newY = 0;
			}

			new_data[frame->widthStep * j + i * 3] = old_data[frame->widthStep * newY + newX * 3];
			new_data[frame->widthStep * j + i * 3 + 1] =old_data[frame->widthStep * newY + newX * 3 + 1];
			new_data[frame->widthStep * j + i * 3 + 2] =old_data[frame->widthStep * newY + newX * 3 + 2];
		}
	}
	memcpy(old_data, new_data, sizeof(uchar) * frame->widthStep * frame->height);
	delete[] new_data;
}

// 哈哈镜制作
int main( int argc, char** argv )
{
	IplImage* pImg; //声明IplImage指针
	IplImage* pImg1; //声明IplImage指针
	int i,j;
	int method = 0;
	CvSize size;
	double tmp;

	method = 8;
	//method = HORAO;

	//载入图像
	pImg = cvLoadImage( "lena.jpg", 1);
	cvNamedWindow( "Image", 1 );//创建窗口
	cvShowImage( "Image", pImg );//显示图像
	printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg->imageSize, pImg->height, pImg->width, pImg->nChannels);

	//MaxFrame(pImg);
	//MinFrame(pImg);

	switch(method)
	{
		// 图像缩小
	case DOWNRESIZE:
		size = cvGetSize(pImg);
		size.width = (size.width>>3)<<2; // 在OpenCV里边，widthStep必须是4的倍数，从而实现字节对齐，有利于提高运算速度。
		size.height =  size.height>>1;
		pImg1 = cvCreateImage( size, IPL_DEPTH_8U, 1);
		printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg1->imageSize, pImg1->height, pImg1->width, pImg1->nChannels);
		for(i=0;i<pImg1->height;i++)
			for(j=0;j<pImg1->width;j++)
			{
				pImg1->imageData[i*pImg1->width+j] = pImg->imageData[i*2*pImg->width+j*2];
			}
			break;
			// 图像放大
	case UPRESIZE:
		/* 添加代码 */
		break;
		// 水平外凹
	case HORAO:
		pImg1 = cvCreateImage( cvGetSize(pImg), IPL_DEPTH_8U, 1);
		printf("imageSize: %d height: %d, width: %d, nChannels: %d\n", pImg1->imageSize, pImg1->height, pImg1->width, pImg1->nChannels);
		for(i=0;i<pImg1->height;i++)
		{
			tmp = RANGE*sin(i*PI/pImg1->height);
			for(j=tmp;j<pImg1->width-tmp;j++)
			{
				pImg1->imageData[i*pImg1->width+j] = pImg->imageData[i*pImg->width+(int)((j-tmp)*(pImg->width)/(pImg->width-2*tmp))];
			}
		}
		break;
		// 水平外凸
	case HORTU:
		/* 添加代码 */
		break;
		// 梯形变形
	case LADDER:
		/* 添加代码 */
		break;
		// 三角形变形
	case TRIANGLE:
		/* 添加代码 */
		break;
		// S形变形
	case SSHAPE:
		/* 添加代码 */
		break;
		// 波浪形变形
	case WAVESHAPE:
		/* 添加代码 */
		break;
	case Concentrated:
		MaxFrame(pImg);
		break;
	case Scattered:
		MinFrame(pImg);
		break;
	default:
		printf("no method support\n");
		break;
	}

	// 显示结果
	cvNamedWindow( "Image1", 1 );//创建窗口
	cvShowImage( "Image1", pImg );//显示图像

	cvWaitKey(0); //等待按键

	//销毁窗口 释放内存
	cvDestroyWindow( "Image" );//销毁窗口
	cvReleaseImage( &pImg ); //释放图像
	cvDestroyWindow( "Image1" );//销毁窗口
	cvReleaseImage( &pImg1 ); //释放图像

	return 0;

}

 

 

 

实现效果：

 

 

未完待续。。应该还有其他的算法，我再找找