Commit Graph

24 Commits

Author SHA1 Message Date
Benjamin Loison
a8fa053687
#49: Get PRNU by using RAW images 2024-04-16 03:02:58 +02:00
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