Commit Graph

304 Commits

Author SHA1 Message Date
Benjamin Loison
a78dcd6f99
Clean extract_noise.py 2024-04-24 14:10:22 +02:00
Benjamin Loison
c65b3642d8
Precise multiple_colors.png file name 2024-04-23 05:01:22 +02:00
be9d4f8f4b
Add denoiser mean possibility 2024-04-23 04:39:28 +02:00
a15b356e16
Add and use getImageNpArray 2024-04-23 04:38:40 +02:00
809aa7fb43
Correct Rafael images filtering 2024-04-23 04:37:46 +02:00
e3bbb2c63d
Precise possibilities for denoiser 2024-04-23 03:57:43 +02:00
fc0cc8808a
Add the missing import numpy as np in merge_single_color_channel_images_according_to_bayer_filter.py 2024-04-23 03:51:56 +02:00
Benjamin Loison
9f2334ceea
Precise imagesFolderPathFileName depending on sky or wall 2024-04-21 19:54:04 +02:00
Benjamin Loison
e2406071d4
Simplify specifying colors 2024-04-21 19:53:21 +02:00
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
847d4bb42f
Update annotations 2024-04-11 23:52:38 +02:00
78b54bf169
Add articles/Mathématiques appliquées — Wikipédia/ 2024-04-11 23:47:20 +02:00
322e201048
Update annotations 2024-04-09 04:06:49 +02:00
fed5698e84
Update annotations 2024-04-09 03:43:17 +02:00
283fa781e5
Add articles/Bayer filter - Wikipedia/ 2024-04-09 03:16:11 +02:00
Benjamin Loison
bc06612501
Make extract_noise.py easier to configure by providing denoiser 2024-04-08 04:52:29 +02:00
38d29e3c8f
Add articles/Binomial distribution - Wikipedia/ 2024-04-07 22:59:09 +02:00
502ac5d14e
Update annotations 2024-04-07 22:58:50 +02:00