Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Benjamin_Loison:prnu_written_as_such
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compare: Benjamin_Loison:5fa61f7ff8ab20db9558d98d9f9c0290ab8616d6
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Benjamin_Loison:prnu_written_as_such

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2 changed files with 3 additions and 6 deletions
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5
algorithms/image_utils/image_utils.py
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@ -5,11 +5,10 @@ from matplotlib import pyplot as plt
def randomGaussianImage(scale, size):
return np.random.normal(loc = 0, scale = scale, size = size)
# `cmap` source: https://matplotlib.org/3.8.0/api/_as_gen/matplotlib.pyplot.imshow.html
def showImageWithMatplotlib(npArray, title = None, cmap = 'viridis'):
def showImageWithMatplotlib(npArray, title = None):
if title is not None:
plt.title(title)
plt.imshow(npArray, cmap = cmap)
plt.imshow(npArray)
plt.show()
def toPilImage(npArray):

4
datasets/noise_free_test_images/estimate_prnu.py
View File

@ -62,7 +62,5 @@ for imageName in os.listdir(datasetPath):
cameraPrnuEstimateNpArray = np.array(imagesPrnuEstimateNpArray).mean(axis = 0)
rms = rmsDiffNumpy(cameraPrnuEstimateNpArray, prnuNpArray, True)
title = f'Camera PRNU estimate\nRMS with actual one: {rmsDiffNumpy(cameraPrnuEstimateNpArray, prnuNpArray):.4f} (normalized RMS: {rmsDiffNumpy(cameraPrnuEstimateNpArray, prnuNpArray, True):.4f})'
#showImageWithMatplotlib(cameraPrnuEstimateNpArray, title)
showImageWithMatplotlib(cameraPrnuEstimateNpArray, f'Camera PRNU estimate\nRMS with actual one: {rmsDiffNumpy(cameraPrnuEstimateNpArray, prnuNpArray):.4f} (normalized RMS: {rmsDiffNumpy(cameraPrnuEstimateNpArray, prnuNpArray, True):.4f})')
showImageWithMatplotlib(cameraPrnuEstimateNpArray, title, 'gray')