Commit Graph

50 Commits

Author SHA1 Message Date
Benjamin Loison
29f3acc479
Enable computing specific colors
For instance if have tested on one and do not want to waste its
computation.
2024-04-21 19:52:52 +02:00
9365b58d1d
#49: Remove intermediary bias by not working on images but numpy arrays instead 2024-04-19 17:21:54 +02:00
675b01271a
#49: Remove shift per color channel 2024-04-19 17:19:47 +02:00
77330e24d2
Make datasets/raise/merge_single_color_channel_images_according_to_bayer_filter.py production ready 2024-04-18 01:21:31 +02:00
0b52e781e3
First try to merge multiple single color channel images 2024-04-18 01:00:41 +02:00
6aca1126a1
Complete dict assignment 2024-04-18 00:53:15 +02:00
3636335b63
Add match statement 2024-04-18 00:52:08 +02:00
be91a07dd5
Add and use getImageFileNameByColor 2024-04-18 00:43:14 +02:00
fddb89c64a
Add datasets/raise/merge_single_color_channel_images_according_to_bayer_filter.py 2024-04-18 00:41:43 +02:00
Benjamin Loison
faaf3eb263
Ease support for single or multiple colors 2024-04-18 00:35:34 +02:00
Benjamin Loison
cca81927dd
Move Color Enum to utils.py 2024-04-18 00:19:01 +02:00
Benjamin Loison
eac2cf2174
Add a missing parameter 2024-04-18 00:18:20 +02:00
fb58d78fed
Name output file the same way as the input one 2024-04-18 00:13:21 +02:00
Benjamin Loison
8c9dfc2e41
Output an estimated PRNU per color channel 2024-04-17 20:25:14 +02:00
Benjamin Loison
f15af68bba
Add and use Color enumeration 2024-04-17 20:15:33 +02:00
Benjamin Loison
f4d8c028b2
Remove unnecessary spaces
Thanks to:

```bash
sed -i 's/^ *$//g' extract_noise.py
```
2024-04-17 14:32:55 +02:00
Benjamin Loison
3760164622
Add and use colorRawImageVisible 2024-04-17 14:27:03 +02:00
Benjamin Loison
83a12f4e0a
Add and use SKY and WALL 2024-04-17 14:26:13 +02:00
Benjamin Loison
e080e841f5
Add and use raiseNotFlatFields 2024-04-17 14:10:11 +02:00
Benjamin Loison
a6ef3977dd
Add comment concerning printing {min,max}Color 2024-04-16 16:48:29 +02:00
Benjamin Loison
8ca1972ddb
Correct raise not flat-fields processing 2024-04-16 16:48:00 +02:00
Benjamin Loison
817c016815
Give a try to get image size with rawpy but it seems far slower
As got:

```
Filtering images:   0%|▏                                                                               | 21/8156 [00:11<1:17:28,  1.75it/s]
```
2024-04-16 04:06:49 +02:00
Benjamin Loison
04e0de4d33
Try making not flat-images compatible 2024-04-16 03:59:26 +02:00
Benjamin Loison
3a4f774e28
Make denoise arguments depend on denoiser 2024-04-16 03:27:26 +02:00
Benjamin Loison
caf7025504
Correct typos in previous commit 2024-04-16 03:15:53 +02:00
Benjamin Loison
d4e13ed123
Compute automatically extreme values 2024-04-16 03:11:38 +02:00
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