Noise

Python में इमेज प्रोसेसिंग

Rebeca Gonzalez

Data Engineer

Noise

scikit-image में noise लागू करें

# Import the module and function
from skimage.util import random_noise


# Add noise to the image
noisy_image = random_noise(dog_image)


# Show original and resulting image
show_image(dog_image)
show_image(noisy_image, 'Noisy image')

scikit-image में noise लागू करें

Noise कम करना

Denoising प्रकार

Total variation (TV)
Bilateral
Wavelet denoising
Non-local means denoising

Denoising

Total variation फ़िल्टर का उपयोग

from skimage.restoration import denoise_tv_chambolle


# Apply total variation filter denoising
denoised_image = denoise_tv_chambolle(noisy_image, 
                                      weight=0.1,
                                      multichannel=True)


# Show denoised image
show_image(noisy_image, 'Noisy image')
show_image(denoised_image, 'Denoised image')

Denoising

Total variation फ़िल्टर

Denoising

Bilateral फ़िल्टर

from skimage.restoration import denoise_bilateral


# Apply bilateral filter denoising
denoised_image = denoise_bilateral(noisy_image, multichannel=True)


# Show original and resulting images
show_image(noisy_image, 'Noisy image')
show_image(denoised_image, 'Denoised image')

Denoising

Bilateral फ़िल्टर

अभ्यास करते हैं!

Python में इमेज प्रोसेसिंग