7、OpenCV Python 高斯模糊

__author__ = "WSX"
import cv2 as cv
import numpy as np
#高斯模糊  基于权重（卷积）
#高斯模糊 去燥效果很好

#高斯模糊
def  guss_blur(img): #去燥  基于卷积
    dst = cv.blur(img , (5 ,5))  #卷积核大小（1*3）
    cv.imshow("Show", dst)

def deal( number ):
    if number > 255:
        return 255
    elif number < 0:
        return 0
    else:
        return number

def guss_noise(img): #加燥,自己写的
    h,w,c = img.shape
    for i in range(h):
        for j in range(w):
            s = np.random.normal(0 , 20 ,3)
            b = img[i ,j ,0]
            g = img[i, j, 1]
            r = img[i, j, 2]
            img[i, j, 0] = deal(b + s[0])
            img[i, j, 1] = deal(g + s[1])
            img[i, j, 2] = deal(r + s[2])
    cv.imshow("noise", img)

#cv.GaussianBlur(img ,(5,5) ,15) 高斯模糊 5*5

def main():
    img = cv.imread("1.JPG")
    cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
    #guss_blur(img)
    guss_noise(img)
    cv.waitKey(0)
    cv.destroyAllWindows()

main()