均值滤波、高斯滤波、高斯双边滤波

# -*-coding:utf-8-*-
# #TODO.1.均值滤波
import cv2
def image_blur(image_path1:str):
    img1=cv2.imread(image_path1,cv2.IMREAD_COLOR)
    img1=cv2.resize(img1,(300,300))
    cv2.imshow('img1',img1)
    result1=cv2.blur(img1,(5,5))
    cv2.imshow('result1',result1)
#TODO.2.高斯滤波
def image_conv(image_path2:str):
    img2=cv2.imread(image_path2,cv2.IMREAD_COLOR)
    img2 = cv2.resize(img2, (300, 300))
    cv2.imshow('img2',img2)
    result2=cv2.GaussianBlur(img2,(0,0),15)
    cv2.imshow('result2',result2)
# TODO.3.高斯双边滤波(照片变清楚了)
def image_bifilter(image_path3:str):
    img3=cv2.imread(image_path3,cv2.IMREAD_COLOR)
    img3 = cv2.resize(img3, (300, 300))
    cv2.imshow('img3',img3)
    result3=cv2.bilateralFilter(img3,0,50,10)
    cv2.imshow('result3',result3)
if __name__=='__main__':
    path='211.jpg'
    image_blur(path)
    image_conv(path)
    image_bifilter(path)
    cv2.waitKey(0)
    cv2.destroyAllWindows()