Benjamin Loison
6251c487e2
Add temporarily maxGreen computation
...
And got:
```
Denoising images: 0%| | 0/100 [00:00<?, ?it/s]maxGreen=2275
Denoising images: 1%|▌ | 1/100 [00:00<01:11, 1.38it/s]maxGreen=2377
Denoising images: 2%|█▏ | 2/100 [00:01<01:18, 1.24it/s]maxGreen=3468
Denoising images: 19%|███████████▌ | 19/100 [00:11<00:46, 1.75it/s]maxGreen=4908
Denoising images: 100%|████████████████████████████████████████████████████████████| 100/100 [00:57<00:00, 1.74it/s]
```
2024-04-16 02:51:27 +02:00
Benjamin Loison
90df8a7cb9
Verify raw.raw_pattern as raw.color_desc does not seem enough
...
As got:
```bash
python3 extract_noise.py
```
```
Denoising images: 0%| | 0/8156 [00:00<?, ?it/s]/mnt/HDD0/raise/nef/ra2c888f8t.NEF
Denoising images: 0%| | 0/8156 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/extract_noise.py", line 73, in <module>
treatImage(imageFileName)
File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/extract_noise.py", line 46, in treatImage
assert np.array_equal(raw.raw_pattern, np.array([[3, 2], [0, 1]], dtype = np.uint8))
AssertionError
```
2024-04-16 01:06:59 +02:00
Benjamin Loison
120eaf563f
WIP: Add .nef support
2024-04-15 23:39:47 +02:00
Benjamin Loison
a0b366e98a
Use shebang compatible with venv
...
See [Benjamin-Loison/cpython/issues/10](https://github.com/Benjamin-Loison/cpython/issues/10 ).
2024-04-15 23:17:04 +02:00
Benjamin Loison
bddfa4c8d5
Clean datasets/raise/extract_noise.py
2024-04-15 16:16:29 +02:00
Benjamin Loison
a09f2ba1c0
#29 : Add Nikon D7000 4946x3278 PRNU estimation from NEF to PNG images
2024-04-15 16:06:05 +02:00
fed5698e84
Update annotations
2024-04-09 03:43:17 +02:00
Benjamin Loison
bc06612501
Make extract_noise.py easier to configure by providing denoiser
2024-04-08 04:52:29 +02:00
Benjamin Loison
8748e648b5
Remove no more relevant commented code for a test
2024-04-06 00:06:13 +02:00
Benjamin Loison
15c41c0463
Add and use imageDenoisedNpArray to ease using other denoisers
2024-04-06 00:03:50 +02:00
Benjamin Loison
b18080e9f5
#33 : Switch to mono-thread
2024-04-06 00:00:24 +02:00
Benjamin Loison
a83e8bb1e0
Replace tabs with spaces in datasets/raise/extract_noise.py
2024-04-05 23:57:37 +02:00
606821d45e
Add show_mean_noise.py
2024-04-03 22:18:18 +02:00
b354f59ac5
Make parallel production ready
2024-04-03 19:15:21 +02:00
0f394faa61
Multicores prototype
2024-04-03 18:20:31 +02:00
faed1e33e8
#33 : Add datasets/raise/extract_noise.py
2024-04-03 18:20:08 +02:00
4dd52aae90
Use plt.imsave instead of toPilImage
2024-04-03 16:57:49 +02:00
d3af12ce3e
Try to have clear figure for thesis audition
2024-04-03 15:20:24 +02:00
aafb7ebc92
Plot an exhaustive curve to make sure that results are not just by chance
2024-04-02 23:58:41 +02:00
631ed6de34
#31 : Establish expected wanted results about finding an identical PRNU for both subgroups
2024-04-02 21:05:15 +02:00
f09665f856
Make first rendering with both subgroups
2024-04-02 19:58:59 +02:00
ea00f42c58
Add datasets/raise/split_and_compare_prnus_of_subgroups.py
2024-04-02 18:45:40 +02:00
90a806a7e2
Move webpage articles to datasets/raise/website/
2024-04-02 18:31:27 +02:00
0d6a956db8
Shorten figure titles
2024-04-02 11:03:47 +02:00
f0db61efe2
Make single figure to compare multiple splitNXN values
2024-03-29 13:47:27 +01:00
81852d5dc6
Make Gaussian noise in getPrnuShownAsSuch only on text
2024-03-29 13:22:36 +01:00
ec7c5c6688
Add gaussianNoise to getPrnuShownAsSuch but applies on the whole PRNU image
2024-03-29 13:16:50 +01:00
2d96bdc225
Not correct generalized SPLIT_N_X_N due to imageWithoutPrnuNpArrayTile
2024-03-29 13:11:24 +01:00
96bbd50a3b
Generalize with a partial image SPLIT_N_X_N
2024-03-29 12:57:56 +01:00
4bf9ef8206
Add splitNxN compatible with 1 and 4
2024-03-29 12:44:42 +01:00
60eceb575e
Simplify grayscale rendering
2024-03-29 12:16:13 +01:00
b375acbb3a
Use v{min,max} for enforcing matplotlib colormap
...
If it proceeds linearly to *covers the complete value range of the supplied data* then doing so is unnecessary and even if it is another not very different scale transformation then it is still fine for my goal.
2024-03-29 12:11:41 +01:00
5fa61f7ff8
Make PRNU compatible with 4x4 split
2024-03-29 11:23:48 +01:00
8351e46437
Comparison of an image without and with Gaussian noise and PRNU
2024-03-29 01:55:46 +01:00
2f66e82f22
Show both RMS and RMS normalized
2024-03-29 01:47:01 +01:00
3ccec5bbd0
Add RMS computation
2024-03-29 01:35:48 +01:00
f297060f42
Split images in 4x4 to increase PRNU estimation accuracy
2024-03-29 01:21:26 +01:00
9b57d3441c
Render PRNU estimate taking into account all images
2024-03-29 01:10:31 +01:00
d59a251b1f
Revert to some extent previous commit
2024-03-29 01:07:48 +01:00
4382b3d649
Add PRNU_FACTOR 0.1 and 0.01 view on a single figure
2024-03-29 01:05:28 +01:00
dfe2540c02
Apply Context-Adaptive Interpolator
2024-03-29 00:06:13 +01:00
9a3cfd7ba1
Add PRNU showing such
2024-03-28 22:24:16 +01:00
ba5a1b742b
#24 : Make executions reproducible
2024-03-28 22:20:40 +01:00
a99e942d3a
Add datasets/noise_free_test_images/estimate_prnu.py
2024-03-28 17:06:58 +01:00
0953fb7475
Add issue reference to datasets/fake/generate_dataset.py
2024-03-28 17:06:36 +01:00
82e7026264
Add algorithms/image_utils/image_utils.py and move there randomGaussianImage and showImageWithMatplotlib
2024-03-28 16:32:38 +01:00
70ccb094d5
Rename randomImage to randomGaussianImage
2024-03-28 16:18:32 +01:00
64eaeddf98
Update annotations
2024-03-28 15:26:57 +01:00
18d34a3101
Add datasets/noise_free_test_images/no_noise_images.zip.txt
2024-03-28 15:25:21 +01:00
cbc778c4dc
Move datasets/noise_free_test_images/noise_free_test_images.{pdf.txt,xopp.xml} to datasets/noise_free_test_images/webpage/
2024-03-28 15:22:28 +01:00
