复古风格图像

import cv2
import numpy as np
image=cv2.imread("C:/Users/xpp/Desktop/Lena.png")
cv2.imshow("original",image)
gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) 
gray=cv2.medianBlur(gray,7) 
edges=cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,9,10)
color=cv2.bilateralFilter(image,1,250,250) 
cartoon=cv2.bitwise_and(color,color,mask=edges)#与运算
cv2.imshow("cartoon",cartoon) 
grayImage=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
grayImage=cv2.GaussianBlur(grayImage,(3,3),0)#高斯滤波
edgeImage=cv2.Laplacian(grayImage,-1,ksize=5)#边缘监测
edgeImage=255-edgeImage
ret,edgeImage=cv2.threshold(edgeImage,150,255,cv2.THRESH_BINARY)#将灰度图片转换为二值图片
edgePreservingImage=cv2.edgePreservingFilter(image,flags=2,sigma_s=50,sigma_r=0.4)#模糊图像
output=np.zeros(grayImage.shape)
output=cv2.bitwise_and(edgePreservingImage,edgePreservingImage,mask=edgeImage)#与运算
cv2.imshow("dim", output) 
cartoon_image=cv2.stylization(image,sigma_s=150,sigma_r=0.6) #图像风格化 
cv2.imshow("result",cartoon_image) 
cv2.waitKey(0) 
cv2.destroyAllWindows()