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
...
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
3ccec5bbd0
Add RMS computation
2024-03-29 01:35:48 +01:00
f297060f42
Split images in 4x4 to increase PRNU estimation accuracy
2024-03-29 01:21:26 +01:00
9b57d3441c
Render PRNU estimate taking into account all images
2024-03-29 01:10:31 +01:00
d59a251b1f
Revert to some extent previous commit
2024-03-29 01:07:48 +01:00
4382b3d649
Add PRNU_FACTOR 0.1 and 0.01 view on a single figure
2024-03-29 01:05:28 +01:00
dfe2540c02
Apply Context-Adaptive Interpolator
2024-03-29 00:06:13 +01:00
9a3cfd7ba1
Add PRNU showing such
2024-03-28 22:24:16 +01:00
ba5a1b742b
#24 : Make executions reproducible
2024-03-28 22:20:40 +01:00
a99e942d3a
Add datasets/noise_free_test_images/estimate_prnu.py
2024-03-28 17:06:58 +01:00
0953fb7475
Add issue reference to datasets/fake/generate_dataset.py
2024-03-28 17:06:36 +01:00
82e7026264
Add algorithms/image_utils/image_utils.py and move there randomGaussianImage and showImageWithMatplotlib
2024-03-28 16:32:38 +01:00
70ccb094d5
Rename randomImage to randomGaussianImage
2024-03-28 16:18:32 +01:00
64eaeddf98
Update annotations
2024-03-28 15:26:57 +01:00
18d34a3101
Add datasets/noise_free_test_images/no_noise_images.zip.txt
2024-03-28 15:25:21 +01:00
cbc778c4dc
Move datasets/noise_free_test_images/noise_free_test_images.{pdf.txt,xopp.xml} to datasets/noise_free_test_images/webpage/
2024-03-28 15:22:28 +01:00
5af7afaf75
Add datasets/noise_free_test_images/
2024-03-28 15:03:57 +01:00
77d6c038fe
Update annotations
2024-03-28 14:50:45 +01:00
69368a9057
Add articles/Law of large numbers - Wikipedia/
2024-03-28 14:50:41 +01:00
abfc9772e8
Update annotations
2024-03-28 14:47:13 +01:00
d716574973
Update annotations
2024-03-26 18:23:30 +01:00
2093f2e613
Update annotations
2024-03-26 18:21:12 +01:00
9028d4d12c
Add __pycache__ to .gitignore
...
Note that I do not precisely know if Pyzo or Python script shell execution generate `__pycache__`.
2024-03-26 18:21:01 +01:00
811b355989
Add articles/Shot noise - Wikipedia/
2024-03-26 18:20:28 +01:00
cfe718da7d
Make x-axis logarithmic
2024-03-26 02:32:03 +01:00
2bc13c5949
#21 : Make a RMS curve depending on the number of images considered for the mean
2024-03-26 01:59:22 +01:00
c2862eaf43
#21 : Incorrect mean, as it is a RMS mean, not a mean of images
2024-03-26 01:55:08 +01:00
f181a3498c
Correct Image wuthout PRNU rendering and precise that it is the first image
2024-03-26 01:45:47 +01:00
03f52a5bd1
Finish Matplotlib figure showing PRNU estimation by averaging
2024-03-25 20:45:51 +01:00
2baf9c3000
Add and use rmsDiffNumpy
2024-03-25 20:14:33 +01:00
7c7cbad0ef
Rename rmsdiff to rmsDiffPil
2024-03-25 20:01:51 +01:00
