实现效果

实现代码

import matplotlib.pyplot as plt
from skimage import io

file_name='d:/2020121173119242.png'
img=io.imread(file_name)

increment = -10.0

img = img * 1.0 
i = (img[:, :, 0] + img[:, :, 1] + img[:, :, 2])/3.0 + 0.001

mask_1 = i > 128.0

r = img [:, :, 0]
g = img [:, :, 1]
b = img [:, :, 2]

rhs = (r*128.0 - (i - 128.0) * 256.0) / (256.0 - i) 
ghs = (g*128.0 - (i - 128.0) * 256.0) / (256.0 - i)
bhs = (b*128.0 - (i - 128.0) * 256.0) / (256.0 - i)

rhs = rhs * mask_1 + (r * 128.0 / i) * (1 - mask_1)
ghs = ghs * mask_1 + (g * 128.0 / i) * (1 - mask_1)
bhs = bhs * mask_1 + (b * 128.0 / i) * (1 - mask_1)

i_new = i + increment - 128.0

mask_2 = i_new > 0.0

r_new = rhs + (256.0-rhs) * i_new / 128.0
g_new = ghs + (256.0-ghs) * i_new / 128.0
b_new = bhs + (256.0-bhs) * i_new / 128.0

r_new = r_new * mask_2 + (rhs + rhs * i_new/128.0) * (1-mask_2)
g_new = g_new * mask_2 + (ghs + ghs * i_new/128.0) * (1-mask_2)
b_new = b_new * mask_2 + (bhs + bhs * i_new/128.0) * (1-mask_2)

img_out = img * 1.0

img_out[:, :, 0] = r_new
img_out[:, :, 1] = g_new
img_out[:, :, 2] = b_new

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.figure(3)
plt.imshow(i/255.0, plt.cm.gray)
plt.axis('off')

plt.show()

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