以代码为基础的opencv-python学习 图像模糊

import cv2
import numpy as np

def blur_demo(image):
    dst = cv2.blur(image,(5,5)) #5*5 blur[均值模糊]
    cv2.imshow('blur demo',dst)

def median_blur_demo(image):
    dst = cv2.medianBlur(image, 5) #中值模糊
    cv2.imshow('median blur demo', dst)

def custom_blur_demo(image):
    #kernel = np.ones([5,5],np.float32)/25 #自定义模糊
    kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]], np.float32)#达到锐化效果。一般矩阵值为奇数，或者矩阵总和=0 表示边缘梯度，矩阵总和=1：锐化
    dst = cv2.filter2D(image,-1,kernel=kernel)
    cv2.imshow('custom blur', dst)

src = cv2.imread("woman.jpg")
cv2.namedWindow("input image",cv2.WINDOW_AUTOSIZE)
cv2.imshow('input image',src)
custom_blur_demo(src)
cv2.waitKey(0)

cv2.destroyAllWindows()