08.opencv高斯模糊

原理见：https://blog.csdn.net/qq_33208851/article/details/95349944

产生噪声：

#coding:utf-8
#file: tutorial.py
#@author: young
#@contact: [email protected]
#@time: 2019/12/15 23:42
import  cv2 as cv
import  numpy as np
def clamp(pv):
    #控制大小，防止溢出
    if pv > 255:
        return 255
    if pv < 0:
        return 0
    else:
        return pv
        
def gaussian_noise(image):
    h, w, c = image.shape
    #获取长宽深度
    #对三通道加上随机值
    for row in range(h):
        for col in range(w):
            s = np.random.normal(0, 20, 3)
            #在0—20之间随机生成3个数字
            #产生三个数给三通道
            b = image[row, col, 0]  # blue
            g = image[row, col, 1]  # green
            r = image[row, col, 2]  # red
            image[row, col, 0] = clamp(b + s[0])
            image[row, col, 1] = clamp(g + s[1])
            image[row, col, 2] = clamp(r + s[2])
    cv.imshow("noise image", image)

src = cv.imread("lena.jpg")
cv.imshow("input images",src)
gaussian_noise(src)
cv.waitKey(0)
cv.destroyAllWindows()

高斯模糊(对噪音有抑制作用)

src = cv.imread("lena.jpg")
cv.imshow("input images",src)
gaussian_noise(src)
dst = cv.GaussianBlur(src,(0,0),15)
cv.imshow("GaussianBlur",dst)
cv.waitKey(0)
cv.destroyAllWindows()