使用skimage为图像添加高斯噪声

前言

需要增加数据集，对图像进行增广

代码

from skimage.io import imread
from skimage import img_as_float
from skimage.util import random_noise
import matplotlib.pylab as plt
import os



if __name__ == '__main__':
    images_dir = "D:/pycodes/python_image_processing/9781789343731_Code/images"
    file_name = "parrot.png"
    file_path = os.path.join(images_dir,file_name)

    im = img_as_float(imread(file_path))

    # 添加高斯噪声
    plt.figure(figsize=(15,12))
    sigmas = [0.1,0.25,0.5,1]
    for i in range(4):
        noisy = random_noise(im,var=sigmas[i]**2)
        plt.subplot(2,2,i+1),plt.imshow(noisy),plt.axis('off')
        plt.title(f'gaussian noise with sigma={str(sigmas[i])}',size=20)        

    plt.show()

输出