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add gaussian noise to image

Shinobu Kochou answered on August 8, 2022 Popularity 9/10 Helpfulness 2/10

answer add gaussian noise to image

add gaussian noise to image

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from PIL import Image

import torch
import torchvision


img = Image.open("test-image.jpg")

from torchvision.transforms import Compose, PILToTensor, ToPILImage


# Tensor GN pipeline

def gauss_noise_tensor(img):
    assert isinstance(img, torch.Tensor)
    dtype = img.dtype
    if not img.is_floating_point():
        img = img.to(torch.float32)
    
    sigma = 25.0
    
    out = img + sigma * torch.randn_like(img)
    
    if out.dtype != dtype:
        out = out.to(dtype)
        
    return out


t1 = Compose([
    PILToTensor(),
    gauss_noise_tensor,
    # For visualization purposes
    ToPILImage()
])


o1 = t1(img)

import matplotlib.pyplot as plt
%matplotlib inline


plt.figure(figsize=(14, 7))
plt.subplot(121)
plt.title("Pillow")
plt.imshow(img)
plt.subplot(122)
plt.title("Tensor GN")
plt.imshow(o1)

Popularity 9/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: add gaussian image noise python

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Contributed on Aug 08 2022

Shinobu Kochou

0 Answers Avg Quality 2/10

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