给图像添加高斯噪声

程序示例：

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from torchvision import transforms from PIL import Image import torch   def gaussian(img, mean, std):     c, h, w = img.shape     noise = torch.randn([c, h, w])*std + mean     return noise   img_jpg = Image.open('C:/Users/admin/Desktop/bird.jpg').convert('RGB')   to_tensor = transforms.ToTensor() img_tensor = to_tensor(img_jpg)   noise_tensor = gaussian(img_tensor, 0, 0.05) noise_img_tensor = img_tensor + noise_tensor for i in range(img_tensor.shape[0]):    # min-max normalization     noise_tensor[i] = (noise_tensor[i] - noise_tensor[i].min() ) / (noise_tensor[i].max() - noise_tensor[i].min())     noise_img_tensor[i] = (noise_img_tensor[i] - noise_img_tensor[i].min() ) / (noise_img_tensor[i].max() - noise_img_tensor[i].min())   to_PILimage = transforms.ToPILImage() noise = to_PILimage(noise_tensor) noise_img = to_PILimage(noise_img_tensor)   noise.save('C:/Users/admin/Desktop/noise0.05.jpg') noise_img.save('C:/Users/admin/Desktop/noise_img0.05.jpg')   print('Done.')

　　

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