import numpy as np
import random
import cv2

def sp_noise(image,prob):
  '''
  添加椒盐噪声
  prob:噪声比例 
  '''
  output = np.zeros(image.shape,np.uint8)
  thres = 1 - prob 
  for i in range(image.shape[0]):
    for j in range(image.shape[1]):
      rdn = random.random()
      if rdn < prob:
        output[i][j] = 0
      elif rdn > thres:
        output[i][j] = 255
      else:
        output[i][j] = image[i][j]
  return output


def gasuss_noise(image, mean=0, var=0.001):
  ''' 
    添加高斯噪声
    mean : 均值 
    var : 方差
  '''
  image = np.array(image/255, dtype=float)
  noise = np.random.normal(mean, var ** 0.5, image.shape)
  out = image + noise
  if out.min() < 0:
    low_clip = -1.
  else:
    low_clip = 0.
  out = np.clip(out, low_clip, 1.0)
  out = np.uint8(out*255)
  #cv.imshow("gasuss", out)
  return out

import cv2
import numpy as np

> im = np.empty((5,5), np.uint8) # needs preallocated input image
> im
array([[248, 168, 58,  2,  1], # uninitialized memory counts as random, too "htmlcode">

img = ...
noise = ...

image = img + noise



参考链接：
1、https://stackoverflow.com/questions/22937589/how-to-add-noise-gaussian-salt-and-pepper-etc-to-image-in-python-with-opencv#
2、https://stackoverflow.com/questions/14435632/impulse-gaussian-and-salt-and-pepper-noise-with-opencv#


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