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5c1f346f2e
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Clean single image histogram
Source: https://www.codespeedy.com/plot-a-histogram-for-an-image-in-pil-python/
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2024-04-25 14:16:58 +02:00 |
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e2602347d4
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Use a single figure to generate histogram
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2024-04-25 12:39:24 +02:00 |
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ec3ddd9c94
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Add generate_histogram.py
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2024-04-25 12:37:21 +02:00 |
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Benjamin Loison
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a78dcd6f99
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Clean extract_noise.py
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2024-04-24 14:10:22 +02:00 |
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Benjamin Loison
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c65b3642d8
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Precise multiple_colors.png file name
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2024-04-23 05:01:22 +02:00 |
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be9d4f8f4b
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Add denoiser mean possibility
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2024-04-23 04:39:28 +02:00 |
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a15b356e16
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Add and use getImageNpArray
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2024-04-23 04:38:40 +02:00 |
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809aa7fb43
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Correct Rafael images filtering
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2024-04-23 04:37:46 +02:00 |
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e3bbb2c63d
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Precise possibilities for denoiser
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2024-04-23 03:57:43 +02:00 |
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fc0cc8808a
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Add the missing import numpy as np in merge_single_color_channel_images_according_to_bayer_filter.py
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2024-04-23 03:51:56 +02:00 |
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Benjamin Loison
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9f2334ceea
|
Precise imagesFolderPathFileName depending on sky or wall
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2024-04-21 19:54:04 +02:00 |
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Benjamin Loison
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e2406071d4
|
Simplify specifying colors
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2024-04-21 19:53:21 +02:00 |
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Benjamin Loison
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29f3acc479
|
Enable computing specific colors
For instance if have tested on one and do not want to waste its
computation.
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2024-04-21 19:52:52 +02:00 |
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9365b58d1d
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#49: Remove intermediary bias by not working on images but numpy arrays instead
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2024-04-19 17:21:54 +02:00 |
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675b01271a
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#49: Remove shift per color channel
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2024-04-19 17:19:47 +02:00 |
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77330e24d2
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Make datasets/raise/merge_single_color_channel_images_according_to_bayer_filter.py production ready
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2024-04-18 01:21:31 +02:00 |
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0b52e781e3
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First try to merge multiple single color channel images
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2024-04-18 01:00:41 +02:00 |
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6aca1126a1
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Complete dict assignment
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2024-04-18 00:53:15 +02:00 |
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3636335b63
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Add match statement
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2024-04-18 00:52:08 +02:00 |
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be91a07dd5
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Add and use getImageFileNameByColor
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2024-04-18 00:43:14 +02:00 |
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fddb89c64a
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Add datasets/raise/merge_single_color_channel_images_according_to_bayer_filter.py
|
2024-04-18 00:41:43 +02:00 |
|
Benjamin Loison
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faaf3eb263
|
Ease support for single or multiple colors
|
2024-04-18 00:35:34 +02:00 |
|
Benjamin Loison
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cca81927dd
|
Move Color Enum to utils.py
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2024-04-18 00:19:01 +02:00 |
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Benjamin Loison
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eac2cf2174
|
Add a missing parameter
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2024-04-18 00:18:20 +02:00 |
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fb58d78fed
|
Name output file the same way as the input one
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2024-04-18 00:13:21 +02:00 |
|
Benjamin Loison
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8c9dfc2e41
|
Output an estimated PRNU per color channel
|
2024-04-17 20:25:14 +02:00 |
|
Benjamin Loison
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f15af68bba
|
Add and use Color enumeration
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2024-04-17 20:15:33 +02:00 |
|
Benjamin Loison
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f4d8c028b2
|
Remove unnecessary spaces
Thanks to:
```bash
sed -i 's/^ *$//g' extract_noise.py
```
|
2024-04-17 14:32:55 +02:00 |
|
Benjamin Loison
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3760164622
|
Add and use colorRawImageVisible
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2024-04-17 14:27:03 +02:00 |
|
Benjamin Loison
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83a12f4e0a
|
Add and use SKY and WALL
|
2024-04-17 14:26:13 +02:00 |
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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
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8ca1972ddb
|
Correct raise not flat-fields processing
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2024-04-16 16:48:00 +02:00 |
|
Benjamin Loison
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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
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3a4f774e28
|
Make denoise arguments depend on denoiser
|
2024-04-16 03:27:26 +02:00 |
|
Benjamin Loison
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caf7025504
|
Correct typos in previous commit
|
2024-04-16 03:15:53 +02:00 |
|
Benjamin Loison
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d4e13ed123
|
Compute automatically extreme values
|
2024-04-16 03:11:38 +02:00 |
|
Benjamin Loison
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a8fa053687
|
#49: Get PRNU by using RAW images
|
2024-04-16 03:02:58 +02:00 |
|
Benjamin Loison
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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
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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 |
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847d4bb42f
|
Update annotations
|
2024-04-11 23:52:38 +02:00 |
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78b54bf169
|
Add articles/Mathématiques appliquées — Wikipédia/
|
2024-04-11 23:47:20 +02:00 |
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322e201048
|
Update annotations
|
2024-04-09 04:06:49 +02:00 |
|
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fed5698e84
|
Update annotations
|
2024-04-09 03:43:17 +02:00 |
|
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283fa781e5
|
Add articles/Bayer filter - Wikipedia/
|
2024-04-09 03:16:11 +02:00 |
|
