How to save pixels after normalization

I want to normalize my images and use them in the training. But I couldn't find a way to save images after making changes below...How can I save it?

files = [/content/drive/MyDrive/Colab Notebooks/images/evre1/xyz.png,
         /content/drive/MyDrive/Colab Notebooks/images/evre1/xty.png]

def normalize(files):
  for i in files:

      image = Image.open(i)
      new_image =image.resize((224,224))
      pixels = asarray(image)
      # convert from integers to floats
      pixels = pixels.astype('float32')
      # calculate global mean and standard deviation
      mean, std = pixels.mean(), pixels.std()
      # print('Mean: %.3f, Standard Deviation: %.3f' % (mean, std))
      # global standardization of pixels
      pixels = (pixels - mean) / std
      # confirm it had the desired effect
      print(pixels)
      # mean, std = pixels.mean(), pixels.std()
      # print('Mean: %.3f, Standard Deviation: %.3f' % (mean, std))
  

normalize(files)

Thanks.