Python: PS 滤镜--高反差保留 (High pass)

本文用 Python 实现 PS 滤镜中的高反差保留特效，具体的算法原理和图像效果可以参考之前的博客：

http://blog.csdn.net/matrix_space/article/details/25492391

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)

img_out = img - gauss_out + 128.0

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()

巴特西

Python: PS 滤镜--高反差保留 (High pass)

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