OpenCV-Python实现怀旧滤镜与连环画滤镜

def cowboy_effect(img):
    new_img = img.copy()
    h, w, n = img.shape
    for i in range(w):
        for j in range(h):
            b = img[j, i, 0]
            g = img[j, i, 1]
            r = img[j, i, 2]
            B = int(0.272 * r + 0.534 * g + 0.131 * b)
            G = int(0.349 * r + 0.686 * g + 0.168 * b)
            R = int(0.393 * r + 0.769 * g + 0.189 * b)
            new_img[j, i, 0] = max(0, min(B, 255))
            new_img[j, i, 1] = max(0, min(G, 255))
            new_img[j, i, 2] = max(0, min(R, 255))
    return new_img


if __name__ == "__main__":
    img = cv2.imread("48.jpg")
    cv2.imshow("0", img)
    cv2.imshow("1", cowboy_effect(img))
    cv2.waitKey()
    cv2.destroyAllWindows()

# 连环画滤镜
def comics_effect(img):
    new_img = img.copy()
    h, w, n = img.shape
    for i in range(w):
        for j in range(h):
            b = img[j, i, 0]
            g = img[j, i, 1]
            r = img[j, i, 2]
            R = int(int(abs(g - b + g + r)) * r / 256)
            G = int(int(abs(b - g + b + r)) * r / 256)
            B = int(int(abs(b - g + b + r)) * g / 256)
            new_img[j, i, 0] = R
            new_img[j, i, 1] = G
            new_img[j, i, 2] = B
    return new_img


if __name__ == "__main__":
    img = cv2.imread("48.jpg")
    cv2.imshow("0", img)
    cv2.imshow("1", comics_effect(img))
    cv2.waitKey()
    cv2.destroyAllWindows()

#include <math.h>
#include <opencv/cv.h>
#include <opencv/highgui.h>
#define MAXSIZE (32768)
using namespace cv;
using namespace std;
 
void casting(const Mat& src)
{
 Mat img;
 src.copyTo(img);
 int width=src.cols;
 int heigh=src.rows;
 Mat dst(img.size(),CV_8UC3);
 for (int y=0;y<heigh;y++)
 {
  uchar* imgP=img.ptr<uchar>(y);
  uchar* dstP=dst.ptr<uchar>(y);
  for (int x=0;x<width;x++)
  {
   float b0=imgP[3*x];
   float g0=imgP[3*x+1];
   float r0=imgP[3*x+2];
 
   float b = b0*255/(g0+r0+1);
   float g = g0*255/(b0+r0+1);
   float r = r0*255/(g0+b0+1);
 
   r = (r>255 ? 255 : (r<0? 0 : r));
   g = (g>255 ? 255 : (g<0? 0 : g));
   b = (b>255 ? 255 : (b<0? 0 : b));
 
   dstP[3*x] = (uchar)b;
   dstP[3*x+1] = (uchar)g;
   dstP[3*x+2] = (uchar)r;
  }
 }
 imshow("熔铸",dst);
 imwrite("D:/img/熔铸.jpg",dst);
 
}
 
void freezing(const Mat& src)
{
 Mat img;
 src.copyTo(img);
 int width=src.cols;
 int heigh=src.rows;
 Mat dst(img.size(),CV_8UC3);
 for (int y=0;y<heigh;y++)
 {
  uchar* imgP=img.ptr<uchar>(y);
  uchar* dstP=dst.ptr<uchar>(y);
  for (int x=0;x<width;x++)
  {
   float b0=imgP[3*x];
   float g0=imgP[3*x+1];
   float r0=imgP[3*x+2];
 
   float b = (b0-g0-r0)*3/2;
   float g = (g0-b0-r0)*3/2;
   float r = (r0-g0-b0)*3/2;
 
   r = (r>255 ? 255 : (r<0? -r : r));
   g = (g>255 ? 255 : (g<0? -g : g));
   b = (b>255 ? 255 : (b<0? -b : b));
//    r = (r>255 ? 255 : (r<0? 0 : r));
//    g = (g>255 ? 255 : (g<0? 0 : g));
//    b = (b>255 ? 255 : (b<0? 0 : b));
   dstP[3*x] = (uchar)b;
   dstP[3*x+1] = (uchar)g;
   dstP[3*x+2] = (uchar)r;
  }
 }
 imwrite("D:/img/冰冻.jpg",dst);
}
 
int main()
{
 Mat src = imread("D:/img/scene04.jpg",1);
 imshow("src",src);
 casting(src);
 freezing(src);
 
 waitKey();
 
}