import matplotlib.pyplot 编程客栈as plt
from skimage import io
from skimage.filters import gaussian

file_name='D:/Visual Effects/PS Algorithm/4.jpg';www.cppcns.com
img=io.imread(file_name)

img = img * 1.0
gauss_out = gaussian(img, sigma=5, multichahttp://www.cppcns.comnnel=True)

# alpha 0 - 5
alpha = 1.5
img_out = (img - gauss_out) * alpha + img

img_out = img_out/255.0

# 饱和处理
mask_1 = img_out < 0 
mask_2 = img_out > 1

img_out = img_out * (1-mask_1)
img_out = img_out * (1-mask_编程客栈2) + mask_2

plt.figure()
plt.imshow(img/255.0)
plt.axis('off')

plt.figure(2)
plhttp://www.cppcns.comt.imshow(img_out)
plt.axis('off')

plt.show()