【Python】生成一张随机噪声图片（Numpy+Pillow）

依赖/Requirement

pip install numpy pillow

代码/Code

from PIL import Image
import numpy as np


def random_noise(width, height, nc):
    '''Generator a random noise image from numpy.array.

    If nc is 1, the Grayscale image will be created.
    If nc is 3, the RGB image will be generated.

    Args:
        nc (int): (1 or 3) number of channels.
        width (int): width of output image.
        height (int): height of output image.
    Returns:
        PIL Image.
    '''
    img = (np.random.rand(width, height, nc)*255).astype(np.uint8)
    if nc == 3:
        img = Image.fromarray(img, mode='RGB')
    elif nc == 1:
        img = Image.fromarray(np.squeeze(img), mode='L')
    else:
        raise ValueError(f'Input nc should be 1/3. Got {nc}.')
    return img


if __name__ == '__main__':
    random_noise(256, 256, 1).save('random-noise.jpg')

结果/Result 彩色图/RGB灰度图/Grayscale 推荐/Recommand

【PyTorch】生成一张随机噪声图片

参考/Reference

https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-modes