Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Rename rmsdiff to rmsDiffPil

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This commit is contained in:
Benjamin Loison 2024-03-25 20:01:51 +01:00
parent 8b0b58953d
commit 7c7cbad0ef
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8
2 changed files with 8 additions and 7 deletions
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3
algorithms/distance/rmsdiff.py → algorithms/distance/rms_diff.py
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@ -3,7 +3,7 @@ import math
import operator
import functools
def rmsdiff(im1, im2):
def rmsDiffPil(im1, im2):
"Calculate the root-mean-square difference between two images"
h = ImageChops.difference(im1, im2).histogram()
@ -12,3 +12,4 @@ def rmsdiff(im1, im2):
return math.sqrt(functools.reduce(operator.add,
map(lambda h, i: h*(i**2), h, range(256))
) / (float(im1.size[0]) * im1.size[1]))

12
datasets/fake/generate_dataset.py
View File

@ -5,7 +5,7 @@ import sys
sys.path.insert(0, '../../algorithms/distance/')
from rmsdiff import rmsdiff
from rms_diff import rmsDiffPil
sys.path.insert(0, '../../algorithms/context_adaptive_interpolator/')
@ -56,7 +56,7 @@ axs[1].imshow(imagesWithPrnu[0][0])
imagesWithPrnuPil = [[toPilImage(imageWithPrnu) for imageWithPrnu in imagesWithPrnu[phoneIndex]] for phoneIndex in range(NUMBER_OF_PHONES)]
#showImageWithMatplotlib(imagesWithPrnu[0][0])
axs[2].set_title(f'First image with PRNU (RMS with image without PRNU: {rmsdiff(toPilImage(imagesWithPrnu[0][0]), toPilImage(imagesWithPrnu[0][0]))})')
axs[2].set_title(f'First image with PRNU (RMS with image without PRNU: {rmsDiffPil(toPilImage(imagesWithPrnu[0][0]), toPilImage(imagesWithoutPrnu[0][0]))})')
axs[2].imshow(imagesWithPrnu[0][0])
imagesWithPrnuPil0Mean = np.array(imagesWithPrnuPil[0]).mean(axis = 0)
@ -77,7 +77,7 @@ def getPhoneIndexByNearestPrnu(estimatedPrnu):
nearestPrnuRmsDiff = None
nearestPrnuPhoneIndex = None
for phoneIndex, prnu in enumerate(prnusPil):
prnuRmsDiff = rmsdiff(estimatedPrnu, prnu)
prnuRmsDiff = rmsDiffPil(estimatedPrnu, prnu)
if nearestPrnuRmsDiff is None or prnuRmsDiff < nearestPrnuRmsDiff:
nearestPrnuRmsDiff = prnuRmsDiff
nearestPrnuPhoneIndex = phoneIndex
@ -99,9 +99,9 @@ for phoneIndex in range(NUMBER_OF_PHONES):
phonePrnu = prnusPil[phoneIndex]
print('RMS diff with mean image =', rmsdiff(phoneImagesMean, phonePrnu))
print('RMS diff with mean CAI images =', rmsdiff(caiImagesMean, phonePrnu))
print('RMS diff with CAI images mean =', rmsdiff(caiOverPhoneImagesMean, phonePrnu))
print('RMS diff with mean image =', rmsDiffPil(phoneImagesMean, phonePrnu))
print('RMS diff with mean CAI images =', rmsDiffPil(caiImagesMean, phonePrnu))
print('RMS diff with CAI images mean =', rmsDiffPil(caiOverPhoneImagesMean, phonePrnu))
guessedPhoneIndexByMeanImages = getPhoneIndexByNearestPrnu(phoneImagesMean)
guessedPhoneIndexByMeanCAIImages = getPhoneIndexByNearestPrnu(caiImagesMean)