93663e1044
Add articles/Additive white Gaussian noise - Wikipedia/
2024-04-07 16:42:10 +02:00
2d3830848b
Update annotations
2024-04-07 16:40:49 +02:00
9d1527c5c4
Add articles/Gaussian noise - Wikipedia/
2024-04-07 16:30:58 +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
ba452096d5
#24 : WebArchive articles/Positional Learning Quentin Bammey
...
As there is no WebArchive error anymore.
2024-04-05 19:01:31 +02:00
d271b502fa
Add articles/Pixel binning - Wikipedia/
2024-04-05 14:12:21 +02:00
658aa34600
Add articles/Self-supervised learning - Wikipedia
2024-04-05 11:37:33 +02:00
4d267bf540
Add articles/Positional Learning Quentin Bammey/
2024-04-05 11:32:20 +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
c69221a336
Update annotations
2024-04-02 11:54:54 +02:00
4df8a4f16e
Add articles/RAISE - Dataset Download/
2024-04-02 11:51:54 +02:00
dfb384a8be
Update annotations
2024-04-02 11:49:39 +02:00
491e7c906b
Update annotations
2024-04-02 11:47:51 +02:00
1c7fc33e06
Add articles/Darktable - Wikipedia/
2024-04-02 11:47:45 +02:00
57298e2e2e
Update annotations
2024-04-02 11:43:57 +02:00
adc224334e
Add articles/XnView - Wikipedia/
2024-04-02 11:43:13 +02:00
34d922901f
Add articles/IrfanView - Wikipedia/
2024-04-02 11:42:29 +02:00
bd18868bc7
Add articles/Nikon Electronic File — Wikipédia/
2024-04-02 11:34:38 +02:00
fe7d2f0cb0
Add articles/Raster graphics - Wikipedia/
2024-04-02 11:33:39 +02:00
3351c909af
Update annotations
2024-04-02 11:32:35 +02:00
2f33ecf02a
Add articles/TIFF - Wikipedia/
2024-04-02 11:30:42 +02:00
f5e99fe4d3
Update annotations
2024-04-02 11:24:22 +02:00
e0b41b3682
Add articles/RAISE - Guide/
2024-04-02 11:16:05 +02:00
5165c5a638
Update annotations
2024-04-02 11:12:01 +02:00
7f2ab40b70
Add articles/RAISE - The Raw Images Dataset/
2024-04-02 11:03:54 +02:00
0d6a956db8
Shorten figure titles
2024-04-02 11:03:47 +02:00
f0db61efe2
Make single figure to compare multiple splitNXN values
2024-03-29 13:47:27 +01:00
81852d5dc6
Make Gaussian noise in getPrnuShownAsSuch only on text
2024-03-29 13:22:36 +01:00
ec7c5c6688
Add gaussianNoise to getPrnuShownAsSuch but applies on the whole PRNU image
2024-03-29 13:16:50 +01:00
2d96bdc225
Not correct generalized SPLIT_N_X_N due to imageWithoutPrnuNpArrayTile
2024-03-29 13:11:24 +01:00
96bbd50a3b
Generalize with a partial image SPLIT_N_X_N
2024-03-29 12:57:56 +01:00
4bf9ef8206
Add splitNxN compatible with 1 and 4
2024-03-29 12:44:42 +01:00
60eceb575e
Simplify grayscale rendering
2024-03-29 12:16:13 +01:00
b375acbb3a
Use v{min,max} for enforcing matplotlib colormap
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If it proceeds linearly to *covers the complete value range of the supplied data* then doing so is unnecessary and even if it is another not very different scale transformation then it is still fine for my goal.
2024-03-29 12:11:41 +01:00
5fa61f7ff8
Make PRNU compatible with 4x4 split
2024-03-29 11:23:48 +01:00
8351e46437
Comparison of an image without and with Gaussian noise and PRNU
2024-03-29 01:55:46 +01:00
2f66e82f22
Show both RMS and RMS normalized
2024-03-29 01:47:01 +01:00
