How to create Gaussian Noise texture in python?

Question

I need to create a texture like the below one with the specific key is there any way of creating this using python? Also, I need to extract the texture from another image and compare using this.Basically, the idea is, I will create a texture using Gaussian Noise and I will distribute it.After that when someone sends the texture back to me I want to know whether the texture is same as that i send

Texture image

Answer 1

Just to answer the question asked in the title, here's how you generate and save Gaussian noise texture in Python using numpy and cv2:

import numpy as np
import cv2

SHAPE = (150, 200)

noise = np.random.normal(255./2, 255./10, SHAPE)
cv2.imwrite("gaussian_noise.png", noise)

And using numpy and Pillow:

import numpy as np
from PIL import Image

SHAPE = (150, 200)

noise = np.random.normal(255./2, 255./10, SHAPE)
image = Image.fromarray(noise)
image = image.convert('RGB')
image.save("gaussian_noise.png")

Example output:

As to the second part of your question, it's really unclear and ambiguous. You should show your code in order for people on StackOverflow to help you.