opencv学习笔记 高斯模糊

# coding=GBK
import cv2 as cv
import numpy as np

def clamp(pv):
	if(pv>255):
		return 255
	if(pv<0):
		return 0
	else :
		return pv
	

def gaussian_noise(image):
	h,w,c=image.shape
	for row in range (0,h,1):
		for col in  range (0,w,1):
			s=np.random.normal(0,20,3)
			b=image[row,col,0]
			g=image[row,col,1]
			r=image[row,col,2]
			image[row,col,0]=clamp(b+s[0])
			image[row,col,1]=clamp(b+s[1])
			image[row,col,2]=clamp(b+s[2])
			cv.imshow("gaussian_noise",image)
			
			
 
    
image1=cv.imread("D://2.png")
cv.imshow("yuantu",image1)
dst=cv.GaussianBlur(image1,(0,0),15)
gaussian_noise(image1)
cv.imshow("hanshu_gaussian",dst)
cv.waitKey(0)
cv.destroyAllWindows()