Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Correct in theory the range of color values

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Benjamin Loison
2024-04-27 17:54:16 +02:00
parent 643fee9f4a
commit 4ac75448a6
1 changed files with 7 additions and 1 deletions
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8
datasets/raise/split_and_compare_prnus_of_subgroups.py
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@@ -37,9 +37,15 @@ for subgroupIndex in tqdm(range(NUMBER_OF_SUBGROUPS), 'Subgroup'):
subgroupIterativeMean.add(imagePrnuEstimateNpArray)
subgroupPrnuEstimateNpArray += [subgroupIterativeMean.mean]
plt.imsave(f'prnu_subgroup_{subgroupIndex}.png', subgroupPrnuEstimateNpArray[-1])
subgroupsPrnuEstimatesNpArray += [subgroupPrnuEstimateNpArray]
mostImagesSubgroupPrnuEstimatesNpArray = [subgroupPrnuEstimatesNpArray[-1] for subgroupPrnuEstimatesNpArray in subgroupsPrnuEstimateNpArray]
minimum = np.min(mostImagesSubgroupPrnuEstimatesNpArray)
maximum = np.max(mostImagesSubgroupPrnuEstimatesNpArray)
for subgroupIndex in range(NUMBER_OF_SUBGROUPS):
plt.imsave(f'prnu_subgroup_{subgroupIndex}.png', (subgroupsPrnuEstimateNpArray[subgroupIndex][-1] - minimum) / (maximum - minimum))
rmss = []
for numberOfImagesIndex in range(len(numberOfImagesThresholds)):
rms = rmsDiffNumpy(subgroupsPrnuEstimatesNpArray[0][numberOfImagesIndex], subgroupsPrnuEstimatesNpArray[1][numberOfImagesIndex])