Commit Graph

310 Commits

Author SHA1 Message Date
c642fa430e Add commented code to crop image
It is commented as it does not seem to be finally what we are looking
for.
2024-04-25 14:37:08 +02:00
674ce8dabe Use relative path for os.chdir in generate_histogram.py 2024-04-25 14:36:38 +02:00
807f586841 Remove no more relevant print in show_mean_noise.py 2024-04-25 14:28:36 +02:00
5c1f346f2e Clean single image histogram
Source: https://www.codespeedy.com/plot-a-histogram-for-an-image-in-pil-python/
2024-04-25 14:16:58 +02:00
e2602347d4 Use a single figure to generate histogram 2024-04-25 12:39:24 +02:00
ec3ddd9c94 Add generate_histogram.py 2024-04-25 12:37:21 +02:00
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