text: from core.test_sup import Supervised_test as test_sup
  from scipy import misc
  import numpy as np
  
  file_name = 'cman'
  file_name_clean = file_name + '_clean.png'
  file_path = './data/'
  
  noise_mean = 0
  noise_sigma = 30
  
  if noise_sigma not in [15, 25, 30, 50, 75]:
      print ('No weight file')
      exit()
      
  clean_image = misc.imread(file_path + file_name_clean)
  noisy_image = clean_image + np.random.normal(noise_mean, noise_sigma, clean_image.shape)
  
  t_s = test_sup(clean_image, noisy_image, noise_sigma)
  denoised_img, psnr, ssim = t_s.denoising()
  
  misc.imsave(file_name +'_denoised_sup.png', denoised_img)
  
  print ('PSNR : ' + str(round(psnr,2)) + '\nSSIM : ' + str(round(ssim,4)))