高斯噪声未覆盖主图像-Python

Question

我正在尝试向图像添加高斯噪声 ("pepper.jpg")。有效，如结果所示（"noisy pepper.png"）；但是噪音并没有覆盖 "peppers" 而是在它周围。我在应用噪音时缺少什么吗？如有任何建议，我们将不胜感激。

import cv2
import numpy as np

img = cv2.imread("pepper.jpg",0)
row, col = img.shape
mean = 0
var = 0.3
sigma = var ** 0.5
gauss = np.random.normal(mean, sigma, (row, col))
gauss = gauss.reshape(row, col)
noisyp = gauss + img
noisyp = noisyp.astype('uint8')
cv2.imwrite('noisy pepper.png', noisyp)

此致，贝鲁兹

Answer 1

您对 uint8 的转换并不复杂。这是您要查找的内容：

import cv2
import numpy as np


def convert_to_uint8(image_in):
    temp_image = np.float64(np.copy(image_in))
    cv2.normalize(temp_image, temp_image, 0, 255, cv2.NORM_MINMAX, dtype=-1)

    return temp_image.astype(np.uint8)


img = cv2.imread("pepper.jpg", 0)
row, col = img.shape
mean = 0
var = 0.3
sigma = var ** 0.5
gauss = np.random.normal(mean, sigma, (row, col))
gauss = gauss.reshape(row, col)
noisy_pepper = gauss + img

cv2.imwrite('noisy pepper.png', convert_to_uint8(noisy_pepper))

当然这样的 sigma 你不会看到噪音。请看这个（sigma 将在 14 左右）：

..
var = 200
sigma = var ** 0.5
..

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