本篇文章为大家展示了利用python如何调整图片的亮度，内容简明扼要并且容易理解，绝对能使你眼前一亮，通过这篇文章的详细介绍希望你能有所收获。
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()上述内容就是利用python如何调整图片的亮度，你们学到知识或技能了吗？如果还想学到更多技能或者丰富自己的知识储备，欢迎关注亿速云行业资讯频道。
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