本文用 Python 实现 PS 滤镜中的 USM 锐化效果
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import matplotlib.pyplot as plt
from skimage import io
from skimage.filters import gaussian
file_name = 'D:/Visual Effects/PS Algorithm/4.jpg' ;
img = io.imread(file_name)
img = img * 1.0
gauss_out = gaussian(img, sigma = 5 , multichannel = 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_2) + mask_2
plt.figure()
plt.imshow(img / 255.0 )
plt.axis( 'off' )
plt.figure( 2 )
plt.imshow(img_out)
plt.axis( 'off' )
plt.show()
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实现效果:
以上就是Python实现PS滤镜中的USM锐化效果的详细内容,更多关于python usm锐化的资料请关注服务器之家其它相关文章!
原文链接:https://www.cnblogs.com/mtcnn/p/9412157.html