Commit Graph

338 Commits

Author SHA1 Message Date
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
8b0b58953d
WIP: Matplotlib figure showing PRNU estimation by averaging
Committed to showcase
Benjamin_Loison/Pillow#4.
2024-03-25 19:45:46 +01:00
044d25cbaa
Add and use showImageWithMatplotlib 2024-03-25 18:37:09 +01:00
8575da5b1d
WIP: Getting PRNU by averaging on fake dataset 2024-03-25 17:45:01 +01:00
72e37a252a
Add algorithms/distance/rmsdiff.py 2024-03-22 13:59:41 +01:00
cf22ff2694
Add comments 2024-03-22 12:59:52 +01:00
d818714344
CAI over images mean does not seem better 2024-03-22 12:57:24 +01:00
464e43861b
Prefer *mean* over *average* 2024-03-22 12:54:34 +01:00
41926663b7
Correct a typo but PRNU classifier still looking random 2024-03-22 12:51:34 +01:00
36f5b69f5e
First PRNU classifier acting randomly it seems 2024-03-22 12:46:13 +01:00
a9adf2d53d
Compare RMS difference between average images and the average CAI images
#9 (comment)
2024-03-22 12:11:26 +01:00
452dd755fc
First PRNU distance test 2024-03-22 11:58:34 +01:00
92ede944c7
Not satisfying due to zero offset 2024-03-22 11:42:47 +01:00
c287d5f0ef
Add an use toPilImage 2024-03-22 11:39:51 +01:00
674025fa62
First iteration of fake dataset generation 2024-03-22 11:20:07 +01:00
9f34973132
Move into multiple files and functions Context-Adaptative Interpolator (CAI) 2024-03-22 11:11:11 +01:00
876ce96a58
Add datasets/fake/generate_dataset.py 2024-03-22 10:31:47 +01:00
408b7a2ba9
Add flat vision dataset size computation
It is about 8.7 GB.
2024-03-21 17:15:56 +01:00
e23543506a
Correct getPixelIndexesAround missing one pixel 2024-03-21 16:19:40 +01:00
13de984d59
Add articles/Wiener_Filtering/ 2024-03-21 16:18:06 +01:00
f3e96243f3
Fix #10: Implement Wiener filter 2024-03-21 15:11:15 +01:00
739317fa63
WIP: Context-Adaptive Interpolator (CAI) 2024-03-21 13:00:51 +01:00
d43ff5777f
Add articles/Wu_ICIP_2012/ 2024-03-21 13:00:23 +01:00