使用openCV进行视频图像锐化

Question

使用openCV进行视频图像锐化

4

我想使用OpenCV来增强我的图像，并查看了一个网络示例，该示例在灰度图像上执行锐化操作。我尝试过它，它完美地工作。然而，现在我想尝试在RGB颜色上进行相同的操作，所以我正在分别对三个通道执行相同的功能，但是没有任何结果，图像与原始图像完全相同。

#include "Sharpening.h"
using namespace std;

Sharpening::Sharpening() {
}

Sharpening::~Sharpening() {
}

IplImage* Sharpening::laplace(IplImage* channel) {

    CvSize size = cvSize(channel->width, channel->height);

    IplImage* temp = cvCreateImage(size, IPL_DEPTH_8U, 1);

    IplImage* lapl = cvCreateImage(size, IPL_DEPTH_8U, 1);

    int width = size.width;

    int height = size.height;

    cvConvertScale(channel, temp, 1.0);

    CvMat* ker = cvCreateMat(3, 3, CV_32FC1);

    cvSet(ker, cvScalarAll(-1.0));

    cvSet2D(ker, 1, 1, cvScalarAll(15.0));

    cout << "this is been executed";

    cvFilter2D(temp, lapl, ker);

    cvReleaseMat(&ker);

    double maxv = 0.0;

    float maxFloat = 1.79769e+308;

    double minv = maxFloat;

    cvMinMaxLoc(lapl, &minv, &maxv);


    for (int i = 0; i < width * height; i++) {

        double lap_val = cvGet1D(lapl, i).val[0];

        int v = (int) ((255.0 * lap_val / maxv) + 0.5); // this calculation does nothing particularly

        cvSet1D(temp, i, cvScalarAll(v));
    }

    maxv = 0.0;

    cvMinMaxLoc(channel, &minv, &maxv);

    for (int i = 0; i < width * height; i++) {

        double val = cvGet1D(channel, i).val[0];
        int v = (int) ((255.0 * val / maxv) + 0.5);

        cvSet1D(channel, i, cvScalarAll(v));
    }

    cvReleaseImage(&temp);
    cvReleaseImage(&lapl);
    cvReleaseMat(&ker);

    return channel;
} // end of function

int Sharpening::calculateLoop(int number) {
    int value = 2;
    for (int i = 0; i < 10; i++) {
        number = number * value;
        cout << number << endl;
    }

    return number;
}

//======================================================================================

int Sharpening::SharpenColored(Sharpening sharp) {

    int key = 0;

    CvCapture *capture = 0;

    IplImage* frame = 0;

    cvNamedWindow("deblur", CV_WINDOW_AUTOSIZE);

    cvNamedWindow("deblur2", CV_WINDOW_AUTOSIZE);

    cvNamedWindow("origional", CV_WINDOW_AUTOSIZE);

    // initialize camera
    capture = cvCaptureFromCAM(0); //capture from a camera

    //capture = cvCaptureFromAVI("jabelH2.avi");

    //frame = cvQueryFrame(capture);

    if (!cvGrabFrame(capture)) { // capture a frame
        printf("Could not grab a frame\n\7");
        exit(0);
    }

    frame = cvQueryFrame(capture);

    CvSize imageSize1 = cvSize(frame->width, frame->height);

    IplImage* R = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* G = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* B = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* R2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* G2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* B2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1);

    IplImage* source = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3);

    IplImage* result = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3);

    IplImage* result2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3);

    QFuture<IplImage*> future1;

    QFuture<IplImage*> future2;

    QFuture<IplImage*> future3;

    while (key != 'q') {
        // get a frame

        frame = cvQueryFrame(capture);

        // always check
        if (!frame)
            break;

        source = frame;

        cvSplit(frame, B, G, R, NULL);

        future1 = QtConcurrent::run(sharp, &Sharpening::laplace, R);

        future2 = QtConcurrent::run(sharp, &Sharpening::laplace, G);

        future3 = QtConcurrent::run(sharp, &Sharpening::laplace, B);

        R2 = future1.result();

        G2 = future2.result();

        B2 = future3.result();

        cvMerge(B2, G2, R2, NULL, result);

        cvAdd(source, result, result2, NULL);
        cvShowImage("origional", source);
        cvShowImage("deblur", R2);
        cvShowImage("deblur2", G2);

        key = cvWaitKey(1);
    } //end of while

    cvDestroyWindow("deblur");
    cvDestroyWindow("deblur2");
    cvDestroyWindow("origional");
    cvReleaseImage(&R);
    cvReleaseImage(&source);
    cvReleaseImage(&R2);
    cvReleaseImage(&G);
    cvReleaseImage(&G2);
    cvReleaseImage(&B);
    cvReleaseImage(&B2);
    cvReleaseImage(&result);
    cvReleaseImage(&result2);
    cvReleaseCapture(&capture);
    delete future1;
    delete future2;
    delete future3;

    return 0;
} //end of function

//======================================================================================

int main(int argc, char *argv[]) {
    Sharpening sh;
    sh.SharpenColored(sh);
}

- user573014

1个回答

网页内容由stack overflow 提供, 点击上面的

可以查看英文原文，
原文链接

- shodanex · Accepted Answer

我现在正在尝试使用RGB颜色来执行相同的功能

检查你的假设！我认为你不是在做相同的事情。我不太了解openCv，但你没有对临时图像进行任何处理，所以通道图像没有改变的原因！你应该将临时图像的结果设置为原始图像，可能像这样：

for (int i = 0; i < width * height; i++) {

    double lap_val = cvGet1D(lapl, i).val[0]; // get modified image data

    int v = (int) ((255.0 * lap_val / maxv) + 0.5); // scale to 0 255
    cvSet1D(channel, i, cvScalarAll(v)); // store in original image
}

或者你可以拿到原始代码，对每个cvImage进行注释说明其包含的内容，并在应用程序中重复使用时查看您可能错过的内容。