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9b57d3441c Render PRNU estimate taking into account all images
d59a251b1f Revert to some extent previous commit
4382b3d649 Add PRNU_FACTOR 0.1 and 0.01 view on a single figure
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica...#25 2024-03-29 00:43:02 +01:00
Estimating fake PRNU on noise-free images

PRNU quite guessable on a given image. Now need to mean to make it clear.

Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica...#25 2024-03-29 00:34:14 +01:00
Estimating fake PRNU on noise-free images

As Context-Adaptive Interpolator is slow and possibly incorrectly implemented, let us try a good known working denoiser:

Figure_1

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dfe2540c02 Apply Context-Adaptive Interpolator
9a3cfd7ba1 Add PRNU showing such
ba5a1b742b #24: Make executions reproducible
Generate arbitrary shape PRNU shown as such
What do phone PRNU distribution looks like?
a99e942d3a Add datasets/noise_free_test_images/estimate_prnu.py
0953fb7475 Add issue reference to datasets/fake/generate_dataset.py
Compare 2 commits »
64d876c0fc Add datasets/noise_free_test_images/estimate_prnu.py
82e7026264 Add algorithms/image_utils/image_utils.py and move there randomGaussianImage and showImageWithMatplotlib
70ccb094d5 Rename randomImage to randomGaussianImage
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica...#19 2024-03-28 16:07:06 +01:00
Theoretical correct Gaussian noise image?

https://pillow.readthedocs.io/en/latest/handbook/concepts.html#modes

Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica...#12 2024-03-28 16:05:32 +01:00
How to manage the border of the image when need neighborhood?

Related to issue:

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0o8BdKMQ…
Estimating PRNU on Gaussian noise images
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica...#21 2024-03-28 15:59:57 +01:00
Estimating PRNU on Gaussian noise images

Continue work at #25.

Estimating fake PRNU on noise-less images
64eaeddf98 Update annotations