Python 图像处理
Rebeca Gonzalez
Data Engineer
# 导入模块和函数 from skimage.util import random_noise # 向图像添加噪声 noisy_image = random_noise(dog_image) # 显示原图与噪声图 show_image(dog_image) show_image(noisy_image, 'Noisy image')
# 导入模块和函数 from skimage.util import random_noise
# 向图像添加噪声 noisy_image = random_noise(dog_image)
# 显示原图与噪声图 show_image(dog_image) show_image(noisy_image, 'Noisy image')
from skimage.restoration import denoise_tv_chambolle # 应用全变差滤波去噪 denoised_image = denoise_tv_chambolle(noisy_image, weight=0.1, multichannel=True) # 显示去噪结果 show_image(noisy_image, 'Noisy image') show_image(denoised_image, 'Denoised image')
from skimage.restoration import denoise_tv_chambolle
# 应用全变差滤波去噪 denoised_image = denoise_tv_chambolle(noisy_image, weight=0.1, multichannel=True)
# 显示去噪结果 show_image(noisy_image, 'Noisy image') show_image(denoised_image, 'Denoised image')
from skimage.restoration import denoise_bilateral # 应用双边滤波去噪 denoised_image = denoise_bilateral(noisy_image, multichannel=True) # 显示原图与结果 show_image(noisy_image, 'Noisy image') show_image(denoised_image, 'Denoised image')
from skimage.restoration import denoise_bilateral
# 应用双边滤波去噪 denoised_image = denoise_bilateral(noisy_image, multichannel=True)
# 显示原图与结果 show_image(noisy_image, 'Noisy image') show_image(denoised_image, 'Denoised image')
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