在openCV中的小波变换 [英] Wavelet transform in openCV

问题描述

有人试图在opencv或C ++中实现DWT吗？
我看到这个主题的旧帖子，我没有发现它们对我有用，因为我需要一个近似系数和细节作为小波变换的结果。

did someone tried to implement DWT in opencv or in C++? I saw older posts on this subject and i didn't find them useful for me, because I need a approximation coefficient and details as a result of wavelet transformation.

我试图将此（ http://wavelet2d.sourceforge.net/ ）添加到我的项目，但它不工作，以及计划。

I tried to add this (http://wavelet2d.sourceforge.net/) to my project but it's not working as well as planned.

这是简单的，因为结果参数我需要近似系数和细节：

And this is to simple, because as a result parameters i need approximation coefficient and details:

void haar1(float *vec, int n, int w)
{
int i=0;
float *vecp = new float[n];
for(i=0;i<n;i++)
    vecp[i] = 0;

    w/=2;
    for(i=0;i<w;i++)
    {
        vecp[i] = (vec[2*i] + vec[2*i+1])/sqrt(2.0);
        vecp[i+w] = (vec[2*i] - vec[2*i+1])/sqrt(2.0);
    }

    for(i=0;i<(w*2);i++)
            vec[i] = vecp[i];

        delete [] vecp;
}
void haar2(float **matrix, int rows, int cols)
{
    float *temp_row = new float[cols];
    float *temp_col = new float[rows];

    int i=0,j=0;
    int w = cols, h=rows;
while(w>1 || h>1)
{
    if(w>1)
    {
        for(i=0;i<h;i++)
        {
            for(j=0;j<cols;j++)
                temp_row[j] = matrix[i][j];

            haar1(temp_row,cols,w);

            for(j=0;j<cols;j++)
                matrix[i][j] = temp_row[j];
        }
    }

    if(h>1)
    {
        for(i=0;i<w;i++)
        {
            for(j=0;j<rows;j++)
                temp_col[j] = matrix[j][i];
            haar1(temp_col, rows, h);
            for(j=0;j<rows;j++)
                matrix[j][i] = temp_col[j];
        }
    }

    if(w>1)
        w/=2;
    if(h>1)
        h/=2;
}

    delete [] temp_row;
    delete [] temp_col;
}

因此，有人可以帮我找到在C ++中实现的dwt或指向我如何提取从上面的代码系数。感谢

So can someone help me find dwt implemented in C++ or point me how to extract from above code coefficients. Thanks

推荐答案

这里是直接和逆Haar小波变换（用于过滤）：

Here is direct and inverse Haar Wavelet transform (used for filtering):

#include "opencv2/opencv.hpp"
#include <iostream>
#include <vector>
#include <stdio.h>

using namespace cv;
using namespace std;

// Filter type
#define NONE 0  // no filter
#define HARD 1  // hard shrinkage
#define SOFT 2  // soft shrinkage
#define GARROT 3  // garrot filter
//--------------------------------
// signum
//--------------------------------
float sgn(float x)
{
    float res=0;
    if(x==0)
    {
        res=0;
    }
    if(x>0)
    {
        res=1;
    }
    if(x<0)
    {
        res=-1;
    }
    return res;
}
//--------------------------------
// Soft shrinkage
//--------------------------------
float soft_shrink(float d,float T)
{
    float res;
    if(fabs(d)>T)
    {
        res=sgn(d)*(fabs(d)-T);
    }
    else
    {
        res=0;
    }

    return res;
}
//--------------------------------
// Hard shrinkage
//--------------------------------
float hard_shrink(float d,float T)
{
    float res;
    if(fabs(d)>T)
    {
        res=d;
    }
    else
    {
        res=0;
    }

    return res;
}
//--------------------------------
// Garrot shrinkage
//--------------------------------
float Garrot_shrink(float d,float T)
{
    float res;
    if(fabs(d)>T)
    {
        res=d-((T*T)/d);
    }
    else
    {
        res=0;
    }

    return res;
}
//--------------------------------
// Wavelet transform
//--------------------------------
static void cvHaarWavelet(Mat &src,Mat &dst,int NIter)
{
    float c,dh,dv,dd;
    assert( src.type() == CV_32FC1 );
    assert( dst.type() == CV_32FC1 );
    int width = src.cols;
    int height = src.rows;
    for (int k=0;k<NIter;k++) 
    {
        for (int y=0;y<(height>>(k+1));y++)
        {
            for (int x=0; x<(width>>(k+1));x++)
            {
                c=(src.at<float>(2*y,2*x)+src.at<float>(2*y,2*x+1)+src.at<float>(2*y+1,2*x)+src.at<float>(2*y+1,2*x+1))*0.5;
                dst.at<float>(y,x)=c;

                dh=(src.at<float>(2*y,2*x)+src.at<float>(2*y+1,2*x)-src.at<float>(2*y,2*x+1)-src.at<float>(2*y+1,2*x+1))*0.5;
                dst.at<float>(y,x+(width>>(k+1)))=dh;

                dv=(src.at<float>(2*y,2*x)+src.at<float>(2*y,2*x+1)-src.at<float>(2*y+1,2*x)-src.at<float>(2*y+1,2*x+1))*0.5;
                dst.at<float>(y+(height>>(k+1)),x)=dv;

                dd=(src.at<float>(2*y,2*x)-src.at<float>(2*y,2*x+1)-src.at<float>(2*y+1,2*x)+src.at<float>(2*y+1,2*x+1))*0.5;
                dst.at<float>(y+(height>>(k+1)),x+(width>>(k+1)))=dd;
            }
        }
        dst.copyTo(src);
    }   
}
//--------------------------------
//Inverse wavelet transform
//--------------------------------
static void cvInvHaarWavelet(Mat &src,Mat &dst,int NIter, int SHRINKAGE_TYPE=0, float SHRINKAGE_T=50)
{
    float c,dh,dv,dd;
    assert( src.type() == CV_32FC1 );
    assert( dst.type() == CV_32FC1 );
    int width = src.cols;
    int height = src.rows;
    //--------------------------------
    // NIter - number of iterations 
    //--------------------------------
    for (int k=NIter;k>0;k--) 
    {
        for (int y=0;y<(height>>k);y++)
        {
            for (int x=0; x<(width>>k);x++)
            {
                c=src.at<float>(y,x);
                dh=src.at<float>(y,x+(width>>k));
                dv=src.at<float>(y+(height>>k),x);
                dd=src.at<float>(y+(height>>k),x+(width>>k));

               // (shrinkage)
                switch(SHRINKAGE_TYPE)
                {
                case HARD:
                    dh=hard_shrink(dh,SHRINKAGE_T);
                    dv=hard_shrink(dv,SHRINKAGE_T);
                    dd=hard_shrink(dd,SHRINKAGE_T);
                    break;
                case SOFT:
                    dh=soft_shrink(dh,SHRINKAGE_T);
                    dv=soft_shrink(dv,SHRINKAGE_T);
                    dd=soft_shrink(dd,SHRINKAGE_T);
                    break;
                case GARROT:
                    dh=Garrot_shrink(dh,SHRINKAGE_T);
                    dv=Garrot_shrink(dv,SHRINKAGE_T);
                    dd=Garrot_shrink(dd,SHRINKAGE_T);
                    break;
                }

                //-------------------
                dst.at<float>(y*2,x*2)=0.5*(c+dh+dv+dd);
                dst.at<float>(y*2,x*2+1)=0.5*(c-dh+dv-dd);
                dst.at<float>(y*2+1,x*2)=0.5*(c+dh-dv-dd);
                dst.at<float>(y*2+1,x*2+1)=0.5*(c-dh-dv+dd);            
            }
        }
        Mat C=src(Rect(0,0,width>>(k-1),height>>(k-1)));
        Mat D=dst(Rect(0,0,width>>(k-1),height>>(k-1)));
        D.copyTo(C);
    }   
}
//--------------------------------
//
//--------------------------------
int process(VideoCapture& capture)
{
    int n = 0;
    const int NIter=4;
    char filename[200];
    string window_name = "video | q or esc to quit";
    cout << "press space to save a picture. q or esc to quit" << endl;
    namedWindow(window_name, CV_WINDOW_KEEPRATIO); //resizable window;
    Mat frame;
    capture >> frame;

    Mat GrayFrame=Mat(frame.rows, frame.cols, CV_8UC1);
    Mat Src=Mat(frame.rows, frame.cols, CV_32FC1);
    Mat Dst=Mat(frame.rows, frame.cols, CV_32FC1);
    Mat Temp=Mat(frame.rows, frame.cols, CV_32FC1);
    Mat Filtered=Mat(frame.rows, frame.cols, CV_32FC1);
    for (;;) 
    {
        Dst=0;
        capture >> frame;
        if (frame.empty()) continue;
        cvtColor(frame, GrayFrame, CV_BGR2GRAY);
        GrayFrame.convertTo(Src,CV_32FC1);
        cvHaarWavelet(Src,Dst,NIter);

        Dst.copyTo(Temp);

        cvInvHaarWavelet(Temp,Filtered,NIter,GARROT,30);

        imshow(window_name, frame);

        double M=0,m=0;
        //----------------------------------------------------
        // Normalization to 0-1 range (for visualization)
        //----------------------------------------------------
        minMaxLoc(Dst,&m,&M);
        if((M-m)>0) {Dst=Dst*(1.0/(M-m))-m/(M-m);}
        imshow("Coeff", Dst);

        minMaxLoc(Filtered,&m,&M);
        if((M-m)>0) {Filtered=Filtered*(1.0/(M-m))-m/(M-m);}        
        imshow("Filtered", Filtered);

        char key = (char)waitKey(5);
        switch (key) 
        {
        case 'q':
        case 'Q':
        case 27: //escape key
            return 0;
        case ' ': //Save an image
            sprintf(filename,"filename%.3d.jpg",n++);
            imwrite(filename,frame);
            cout << "Saved " << filename << endl;
            break;
        default:
            break;
        }
    }
    return 0;
}

int main(int ac, char** av) 
{
    VideoCapture capture(0);
    if (!capture.isOpened()) 
    {
        return 1;
    }
    return process(capture);
}

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