在opencv中创建小插图过滤器?

Browny's implementation of this filter is considerably more complex. However, I ported his code to the C++ API and simplified it so you can follow the instructions yourself.

#include <math.h>

#include <vector>

#include <cv.hpp>
#include <highgui/highgui.hpp>


// Helper function to calculate the distance between 2 points.
double dist(CvPoint a, CvPoint b)
{
    return sqrt(pow((double) (a.x - b.x), 2) + pow((double) (a.y - b.y), 2));
}

// Helper function that computes the longest distance from the edge to the center point.
double getMaxDisFromCorners(const cv::Size& imgSize, const cv::Point& center)
{
    // given a rect and a line
    // get which corner of rect is farthest from the line

    std::vector<cv::Point> corners(4);
    corners[0] = cv::Point(0, 0);
    corners[1] = cv::Point(imgSize.width, 0);
    corners[2] = cv::Point(0, imgSize.height);
    corners[3] = cv::Point(imgSize.width, imgSize.height);

    double maxDis = 0;
    for (int i = 0; i < 4; ++i)
    {
        double dis = dist(corners[i], center);
        if (maxDis < dis)
            maxDis = dis;
    }

    return maxDis;
}

// Helper function that creates a gradient image.   
// firstPt, radius and power, are variables that control the artistic effect of the filter.
void generateGradient(cv::Mat& mask)
{
    cv::Point firstPt = cv::Point(mask.size().width/2, mask.size().height/2);
    double radius = 1.0;
    double power = 0.8;

    double maxImageRad = radius * getMaxDisFromCorners(mask.size(), firstPt);

    mask.setTo(cv::Scalar(1));
    for (int i = 0; i < mask.rows; i++)
    {
        for (int j = 0; j < mask.cols; j++)
        {
            double temp = dist(firstPt, cv::Point(j, i)) / maxImageRad;
            temp = temp * power;
            double temp_s = pow(cos(temp), 4);
            mask.at<double>(i, j) = temp_s;
        }
    }
}

// This is where the fun starts!
int main()
{
    cv::Mat img = cv::imread("stack-exchange-chefs.jpg");
    if (img.empty())
    {
        std::cout << "!!! Failed imread
";
        return -1;
    }

    /*
    cv::namedWindow("Original", cv::WINDOW_NORMAL);
    cv::resizeWindow("Original", img.size().width/2, img.size().height/2);
    cv::imshow("Original", img);
    */

img 的样子:

    cv::Mat maskImg(img.size(), CV_64F);
    generateGradient(maskImg);

    /*
    cv::Mat gradient;
    cv::normalize(maskImg, gradient, 0, 255, CV_MINMAX);
    cv::imwrite("gradient.png", gradient);
    */

ma??skImg 的样子:

    cv::Mat labImg(img.size(), CV_8UC3);
    cv::cvtColor(img, labImg, CV_BGR2Lab);

    for (int row = 0; row < labImg.size().height; row++)
    {
        for (int col = 0; col < labImg.size().width; col++)
        {
            cv::Vec3b value = labImg.at<cv::Vec3b>(row, col);
            value.val[0] *= maskImg.at<double>(row, col);
            labImg.at<cv::Vec3b>(row, col) =  value;
        }
    }

    cv::Mat output;
    cv::cvtColor(labImg, output, CV_Lab2BGR);
    //cv::imwrite("vignette.png", output);

    cv::namedWindow("Vignette", cv::WINDOW_NORMAL);
    cv::resizeWindow("Vignette", output.size().width/2, output.size().height/2);
    cv::imshow("Vignette", output);
    cv::waitKey();

    return 0;
}

输出是什么样的:

如上代码所述，通过改变firstPt、radius和power的值，可以实现更强/更弱的艺术效果.