Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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datasets/raise/extract_noise.py
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@ -13,15 +13,14 @@ npArrayFilePath = 'mean.npy'
mean = None
numberOfImagesInMean = 0
imagesFileNames = os.listdir(imagesFolderPath)
imagesFileNames = os.listdir(imagesFolderPath)#[:2]
def treatImage(imageFileName):
global mean, numberOfImagesInMean
imageFilePath = f'{imagesFolderPath}/{imageFileName}'
imagePil = Image.open(imageFilePath)
imageNpArray = img_as_float(np.array(imagePil))
imageDenoisedNpArray = denoise_tv_chambolle(imageNpArray, weight=0.2, channel_axis=-1)
imageNoiseNpArray = imageNpArray - imageDenoisedNpArray
imageNoiseNpArray = imageNpArray - denoise_tv_chambolle(imageNpArray, weight=0.2, channel_axis=-1)
if mean is None:
mean = imageNoiseNpArray
else: