323 Commits

Author SHA1 Message Date
4353bbd274 Update articles/Lens flare - Wikipedia/ annotations 2024-05-17 00:07:49 +02:00
9f167958bf Add articles/Stage lighting accessories - Wikipedia/ 2024-05-16 23:57:20 +02:00
be8d60e0ac Add articles/Glare (vision) - Wikipedia/ 2024-05-16 23:53:23 +02:00
04b6f237b3 Add articles/Point reflection - Wikipedia/ 2024-05-16 23:24:18 +02:00
d5192a9f64 Add articles/2007-dirik-sencar-memon--source-camera-identification-based-on-sensor-dust-characteristics/ 2024-05-16 19:39:47 +02:00
f049100867 Add articles/preprint-PRNU_WIFS-3/ 2024-05-16 19:30:00 +02:00
5b4f7266f4 Add articles/Gradient-domain image processing - Wikipedia/ 2024-05-16 16:18:22 +02:00
6d868069cc Add articles/Image stitching - Wikipedia/ 2024-05-16 16:17:49 +02:00
cccf717a2c Add articles/Deblocking filter - Wikipedia/ 2024-05-16 16:16:04 +02:00
f74c611974 Add articles/Mean shift - Wikipedia/ 2024-05-16 15:27:47 +02:00
dc4b0a1155 Add articles/Mixture model - Wikipedia/ 2024-05-16 15:25:52 +02:00
15fcbbfd4b Add articles/Receptive field - Wikipedia/ 2024-05-16 15:23:20 +02:00
36046f350e Add articles/Diffraction grating - Wikipedia/ 2024-05-16 15:11:25 +02:00
d5c332dec6 Add articles/Mirrorless camera - Wikipedia/ 2024-05-16 15:06:57 +02:00
dcce77946c Add articles/Digital single-lens reflex camera - Wikipedia/ 2024-05-16 14:59:34 +02:00
d89e632ed3 Add articles/Rangefinder camera - Wikipedia/ 2024-05-16 14:54:37 +02:00
a46d8b3969 Add articles/Prism (optics) - Wikipedia/ 2024-05-16 14:51:58 +02:00
5e2f6c2131 Add articles/Single-lens reflex camera - Wikipedia/ 2024-05-16 14:48:53 +02:00
2b71260ad6 Add articles/Scattering - Wikipedia/ 2024-05-16 14:37:04 +02:00
b4ab2d7ac6 #77: Add articles/Lens flare - Wikipedia/ 2024-05-16 12:22:47 +02:00
99fb31bbd1 Use same color scale 2024-05-16 09:55:36 +02:00
da5b19f047 Clean image_to_fourier.py 2024-05-16 01:39:06 +02:00
eb33def18c Add a missing : and imports 2024-05-16 00:33:29 +02:00
Benjamin Loison
f719ff767a #66: Stop execution if Pearson correlation is negative 2024-05-15 20:15:20 +02:00
Benjamin Loison
60a9dfe89c Update forgotten to commit scripts 2024-05-15 20:00:44 +02:00
Benjamin Loison
6e7e06b85c Clean attribute_source_camera.py 2024-05-15 19:57:56 +02:00
Benjamin Loison
e3e3d44ca9 #62: Comment loading images to memory in favor of cropping 2024-05-15 19:57:04 +02:00
6a9900df91 #66: Add Distance Enum to choose between ROOT_MEAN_SQUARE and PEARSON_CORRELATION 2024-05-15 19:51:30 +02:00
Benjamin Loison
7ed6ff5adb Add RESOLUTION support for Denoiser.MEAN in extract_noise.py 2024-05-15 19:20:19 +02:00
Benjamin Loison
ec4657eda8 Clean low pass denoiser 2024-05-15 18:21:11 +02:00
Benjamin Loison
95796b53fc #69: Remove artifacts from low pass denoiser
See [Robust_image_source_identification_on_modern_smartphones/issues/69#issuecomment-1892](#69 (comment)).
2024-05-15 17:41:19 +02:00
Benjamin Loison
462bd92509 Make production ready benchmark_load_part_of_images.py 2024-05-15 16:23:39 +02:00
f7c08849dc Update old merge_with_same_color_scale_single_color_channel_images_according_to_bayer_filter.py 2024-05-15 15:43:16 +02:00
8ec292ba11 Add old Termux try 2024-05-15 15:42:25 +02:00
dac9ce9d50 Update remove_period_patterns.py 2024-05-15 15:39:11 +02:00
d68cd1f8d9 Add articles/Median absolute deviation - Wikipedia/ 2024-05-15 15:35:35 +02:00
3de2d90a84 Add articles/Univariate - Wikipedia/ 2024-05-15 15:29:40 +02:00
feaca32d6e Add articles/Point spread function - Wikipedia/ 2024-05-15 15:19:42 +02:00
2312fe8705 Add articles/Airy disk - Wikipedia/ 2024-05-15 15:08:09 +02:00
cc45d3dc77 Add articles/Sinc function - Wikipedia/ 2024-05-15 15:02:33 +02:00
7dcd1f3331 Update remove_period_patterns.py 2024-05-14 11:40:56 +02:00
337a6eca84 Add titles 2024-05-14 02:12:54 +02:00
db2e19738e Update annotations 2024-05-14 02:12:23 +02:00
038f5ffc00 Add remove_period_patterns.py 2024-05-14 02:03:46 +02:00
db55fc6d0f Add articles/Fourier transforms of images plus.maths.org/ 2024-05-14 01:28:00 +02:00
0b9fa48597 Add articles/Fixed-pattern noise - Wikipedia/ 2024-05-14 01:26:42 +02:00
1c3dd8d67c Add articles/FloreView_An_Image_and_Video_Dataset_for_Forensic_Analysis/ 2024-05-14 01:25:16 +02:00
b7c494579c Add old get_ft_prnu.py 2024-05-14 01:19:57 +02:00
810bde8e35 Add fft scripts 2024-05-14 01:19:05 +02:00
4bab354a95 Clean fft.py 2024-05-14 00:24:02 +02:00
451bd55219 Add fft.py 2024-05-14 00:17:29 +02:00
44e325c42b Add articles/skimage.restoration — skimage 0.23.2 documentation/ 2024-05-13 23:37:01 +02:00
Benjamin Loison
ce64450101 Load lazily images (#62) 2024-05-13 20:06:47 +02:00
Benjamin Loison
10f8766793 First try lazy load 2024-05-13 19:50:54 +02:00
Benjamin Loison
f85e63b6e0 #62: First lazy load try
```
OPERATION = <Operation.LOAD_NPY: 3>
RESOLUTION = 100
Image:   0%|▍                                                                                            | 1/200 [00:00<00:00, 5084.00it/s]
Camera:   0%|                                                                                                        | 0/2 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/./benchmark_load_part_of_images.py", line 43, in <module>
    rawColorChannels = np.load(numpyFilePath, mmap_mode = 'r', allow_pickle = True)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/benjamin/venv/lib/python3.11/site-packages/numpy/lib/npyio.py", line 453, in load
    return format.open_memmap(file, mode=mmap_mode,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/benjamin/venv/lib/python3.11/site-packages/numpy/lib/format.py", line 932, in open_memmap
    raise ValueError(msg)
ValueError: Array can't be memory-mapped: Python objects in dtype.
```
2024-05-13 18:30:28 +02:00
Benjamin Loison
ac32abede1 Save all colors 2024-05-13 18:22:25 +02:00
Benjamin Loison
36b17eb3cc #62: Add benchmark_load_part_of_images.py 2024-05-13 17:52:49 +02:00
Benjamin Loison
fb0f78e069 Add the ability to hardcode resolution 2024-05-13 16:27:53 +02:00
Benjamin Loison
86093a40c0 Load training images to memory to ease implementation and make execution
faster
2024-05-13 16:26:58 +02:00
Benjamin Loison
54178c1101 #72: Verify actual data type pointer 2024-05-13 16:10:11 +02:00
Benjamin Loison
50058d5d2e #72: Verify pointer before actually implementing the correct second choice 2024-05-13 15:55:59 +02:00
Benjamin Loison
dbfc2756b2 Remove commented code 2024-05-13 15:21:30 +02:00
Benjamin Loison
31704c6e78 #72: Implement, possibly incorrectly, first choice 2024-05-13 15:20:17 +02:00
Benjamin Loison
5e6702e007 #63: use scipy.stats.pearsonr 2024-05-13 12:51:26 +02:00
Benjamin Loison
1a910d2e2c Add a try with numpy.corrcoef 2024-05-13 12:39:59 +02:00
Benjamin Loison
6ed57bc477 Precise purpose of a part of code 2024-05-13 03:13:58 +02:00
Benjamin Loison
3f7b6bf21a Replace _ with for end-user color channel name 2024-05-13 02:56:27 +02:00
Benjamin Loison
b2ffc20473 Add comments to attribute_source_camera.py 2024-05-13 02:48:22 +02:00
Benjamin Loison
226936020e Remove comments of {min,max}Color 2024-05-13 02:02:51 +02:00
c1d0ec5155 Add articles/Summed-area table - Wikipedia/ 2024-05-10 01:33:58 +02:00
cfddb71f00 Add articles/Non-local means - Wikipedia/ 2024-05-10 01:25:41 +02:00
934add5d91 Add boxplot for the specified denoisers 2024-05-10 00:14:30 +02:00
73fb61b16d Correct missing denoiser usage 2024-05-10 00:13:47 +02:00
8523c02517 Fix #68: Use same color map for different images to more accurately compare them 2024-05-10 00:03:08 +02:00
3e332c19d8 Remove unnecessary from PIL import Image 2024-05-10 00:02:44 +02:00
0bd9e57942 Correct warning Token not allowed in a PDF string (Unicode): (hyperref) removing \\'`
Answer from [the Tex Stack Exchange answer 330980](https://tex.stackexchange.com/a/330980).
2024-05-09 22:06:06 +02:00
e1ff265e6b Add documentation/slides/slides.tex 2024-05-09 22:05:11 +02:00
d8a4e66ff8 Add documentation/report/report.tex 2024-05-09 21:59:04 +02:00
557b10b645 Update annotations 2024-05-09 21:51:53 +02:00
8bbf60cd1a Add articles/Pearson correlation coefficient - Wikipedia/ 2024-05-09 21:51:18 +02:00
320a7dfef2 Add articles/Standard deviation - Wikipedia/ 2024-05-09 21:50:51 +02:00
bf5120d972 Add articles/Covariance - Wikipedia/ 2024-05-09 21:50:33 +02:00
5de9de9663 Add articles/Geometric mean - Wikipedia/ 2024-05-09 21:50:01 +02:00
96e52e53dd Update annotations 2024-05-03 14:37:57 +02:00
5ff8e3792d Add articles/Convolution - Wikipedia/ 2024-05-03 14:37:26 +02:00
06ea9855f0 Update annotations 2024-05-03 14:18:29 +02:00
Benjamin Loison
f1495f2ba0 Add and use PREDICT_ONLY_ON_WHOLE_TRAINING_SET 2024-05-03 13:55:32 +02:00
Benjamin Loison
612f4119fd Determine the mean of camera images only on the training set 2024-05-03 03:54:26 +02:00
Benjamin Loison
d7f7728211 Add Denoiser Enum 2024-05-03 03:49:15 +02:00
Benjamin Loison
9fd44debf5 Remove implicit getColorMeans denoiser argument 2024-05-03 03:39:57 +02:00
Benjamin Loison
0c429aa4d6 Add and use getImageCrop 2024-05-03 03:13:38 +02:00
Benjamin Loison
fd6a9868fe Add mean DENOISER support 2024-05-03 02:47:43 +02:00
Benjamin Loison
9d33abcea3 Add necessary denoiser argument 2024-05-03 02:45:27 +02:00
Benjamin Loison
82b14a8724 Uppercase constants 2024-05-03 02:43:56 +02:00
Benjamin Loison
4bea5e3a97 Move getImageNpArray to utils.py 2024-05-03 02:32:05 +02:00
Benjamin Loison
790c0d6da4 Add and use getImageFilePath 2024-05-03 02:27:07 +02:00
Benjamin Loison
514413e1dd Add and use getColorMeans 2024-05-03 02:21:01 +02:00
Benjamin Loison
01d18a4943 Rename means to colorMeans
To be clearer for future `attribute_source_camera.py` usage.
2024-05-03 02:13:53 +02:00
Benjamin Loison
d8c7b8b0ef Add and use getImagePrnuEstimatedNpArray 2024-05-03 02:03:59 +02:00
Benjamin Loison
878cff9aa2 Add and use getSingleColorChannelImages 2024-05-03 02:01:37 +02:00
Benjamin Loison
77b0b6dc6e Make getMultipleColorsImage also return singleColorChannelImages 2024-05-03 01:59:39 +02:00
Benjamin Loison
591d7dc74a Make getImageFilePath call implicit 2024-05-03 01:56:05 +02:00
Benjamin Loison
d696edeb3f Add and use getMultipleColorsImage 2024-05-03 01:54:17 +02:00
Benjamin Loison
fcbccb3b5c Add and use getImageFilePath 2024-05-03 01:49:54 +02:00
3c4cf90b19 Add articles/HOW TO READ SMARTPHONE CAMERA SPECS - Inquisitive Universe/ 2024-05-03 00:02:18 +02:00
97de65e2e2 Add articles/Inch - Wikipedia/ 2024-05-02 23:53:48 +02:00
fcb8631b21 Add articles/Focal length - Wikipedia/ 2024-05-02 23:45:37 +02:00
091744af25 Add articles/f-number - Wikipedia/ 2024-05-02 23:42:07 +02:00
6d189611fd Add articles/Time-of-flight camera - Wikipedia/ 2024-05-02 23:34:14 +02:00
062d2b3bdd Add articles/What is PDAF Phase Detection Autofocus explained - Android Authority/ 2024-05-02 23:26:36 +02:00
Benjamin Loison
b5b0cc4a7c Remove no more meaningful progress optional argument 2024-05-02 13:07:03 +02:00
34613e344b Retrieve number of cameras instead of battery *charge counter* 2024-05-02 02:23:15 +02:00
d7e82d07c2 Add and use log 2024-05-02 01:43:42 +02:00
e20a0a5403 Rename net/hanshq/hello to com/robust_image_source_identification_on_modern_smartphones/camera 2024-05-02 01:22:43 +02:00
aca86e3344 Add and use $SOURCE_FOLDER and $APP_NAME 2024-05-01 23:03:09 +02:00
9af3b32820 Add datasets/android/compile.sh 2024-05-01 22:57:12 +02:00
92aa5a3558 Add datasets/android/
Based on https://www.hanshq.net/command-line-android.html.

See [Benjamin-Loison/android/issues/30](https://github.com/Benjamin-Loison/android/issues/30).
2024-05-01 22:44:36 +02:00
Benjamin Loison
53c3935bab Clean some debugging 2024-04-30 06:48:17 +02:00
Benjamin Loison
7a807b91d8 #63: Add debugging 2024-04-30 06:45:28 +02:00
Benjamin Loison
a8725e5e88 Move denoising testing images to work even if provide minColor and maxColor (#63) 2024-04-30 05:36:28 +02:00
Benjamin Loison
3c403dbed3 WIP (#63) 2024-04-30 05:31:14 +02:00
Benjamin Loison
b6425b426e #63: WIP 2024-04-30 05:01:05 +02:00
Benjamin Loison
319ca8fb60 Add attribute_source_camera.py
It is a modified copy of `split_and_compare_prnus_of_subgroups.py`.
2024-04-30 04:48:02 +02:00
Benjamin Loison
aa9f73e8a0 Fix random seed to improve reproducibility 2024-04-30 03:49:45 +02:00
Benjamin Loison
22fc4ce46b Remove rescale for plt.imsave as do not seem necessary anymore 2024-04-30 03:36:37 +02:00
Benjamin Loison
20fcb247c6 Simplify loops
The idea was initially in the context of #62 to optimize execution
speed.
2024-04-30 03:36:04 +02:00
Benjamin Loison
ad5aa22ae6 Add missing import for saveNpArray and add a missing f-string 2024-04-30 03:35:30 +02:00
Benjamin Loison
c2a2dea2c7 Add a missing argument to getColorChannel in extract_noise.py 2024-04-30 03:22:03 +02:00
Benjamin Loison
31b979edb3 Override print to also print current time 2024-04-30 03:21:32 +02:00
Benjamin Loison
c9f75286bf Make merge_single_color_channel_images_according_to_bayer_filter.py
virtual environment friendly
2024-04-30 03:20:44 +02:00
Benjamin Loison
ab9466c738 #62: Optimize significantly mergeSingleColorChannelImagesAccordingToBayerFilter 2024-04-30 03:17:19 +02:00
Benjamin Loison
2d67c2bca1 Add and use rescaleRawImageForDenoiser and updateExtremes (#59) 2024-04-30 02:04:17 +02:00
Benjamin Loison
671a692114 #59: Save rmss for futher investigations
For instance to plot a fair comparison, see [issues/59#issuecomment-1732](#59 (comment)).
2024-04-30 01:04:33 +02:00
5647ab4019 #59: Should make split_and_compare_prnus_of_subgroups.py compatible with RAW images 2024-04-27 23:13:48 +02:00
9b2f2281e4 Make merge_single_color_channel_images_according_to_bayer_filter.py more general 2024-04-27 22:57:29 +02:00
5ea0a862c0 Add and use getColorChannel 2024-04-27 21:49:32 +02:00
561ec9d1e0 Add and use escapeFilePath 2024-04-27 21:48:07 +02:00
b50f013234 Add and use isARawImage 2024-04-27 21:46:40 +02:00
a0fc38d023 Add and use getRawColorChannel to utils.py 2024-04-27 20:47:33 +02:00
Benjamin Loison
80a33428d6 Make split_and_compare_prnus_of_subgroups.py execution compatible with chaining shell commands
Otherwise it is stuck on `plt.show` until it is closed but we want to
chain with a notification command, so the notification is not
interesting in this case.
2024-04-27 19:36:45 +02:00
Benjamin Loison
9d8e5ddbec Make split_and_compare_prnus_of_subgroups.py only use 2 images of RAM
quantity
2024-04-27 19:24:12 +02:00
Benjamin Loison
4ac75448a6 Correct in theory the range of color values 2024-04-27 17:54:16 +02:00
Benjamin Loison
643fee9f4a Make split_and_compare_prnus_of_subgroups.py executable from terminal
Used to be only executable from Pyzo.
2024-04-27 16:55:03 +02:00
c8fe71444f #59: Leverage iterativeMean to not suffer of RAM quantity issue 2024-04-27 16:49:06 +02:00
Benjamin Loison
6f6721da8d Make merge_single_color_channel_images_according_to_bayer_filter.py executable from terminal
Used to only run in Pyzo.
2024-04-27 16:20:02 +02:00
b0fa01c6c4 Remove potential chronological bias 2024-04-27 16:10:20 +02:00
e9dc28dc2a Simplify and clean split_and_compare_prnus_of_subgroups.py 2024-04-27 16:06:47 +02:00
Benjamin Loison
ee7353cfde Correct iterativeMean implementation for images
Otherwise get:

```
Traceback (most recent call last):
  File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/./extract_noise.py", line 148, in <module>
    treatImage(imageFileName, color = color)
  File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/./extract_noise.py", line 114, in treatImage
    estimatedPrnuIterativeMean.add(imageNoiseNpArray)
  File "/home/benjamin/robust_image_source_identification_on_modern_smartphones/datasets/raise/utils.py", line 34, in add
    self.mean = ((self.mean * self.numberOfElementsInMean) + element) / (self.numberOfElementsInMean + 1)
                  ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'
```
2024-04-27 15:58:29 +02:00
bd0b9aca94 Correct support for JPG images 2024-04-27 15:55:25 +02:00
e9038bdb76 Hide inappropriate figure title 2024-04-27 15:21:57 +02:00
af947dbf65 Add articles/Euclidean distance - Wikipedia/ 2024-04-27 15:08:56 +02:00
5baabae99d Make mean initialization more general in iterativeMean 2024-04-26 15:56:10 +02:00
1ea1bde910 Leverage iterativeMean in extract_noise.py 2024-04-26 14:25:08 +02:00
674f87d480 Remove unnecessary iterativeMean parentheses and rename addElement to add 2024-04-26 14:22:59 +02:00
7af96d6bf6 Add iterativeMean to utils
Verified with:

```py
myIterativeMean = iterativeMean()
print(myIterativeMean.mean)
myIterativeMean.addElement(2)
print(myIterativeMean.mean)
myIterativeMean.addElement(3)
print(myIterativeMean.mean)
```

Note that cannot simplify as follows in the general case of using images as
`element`s for instance:

```diff
diff --git a/datasets/raise/utils.py b/datasets/raise/utils.py
index fba5523..a116edb 100644
--- a/datasets/raise/utils.py
+++ b/datasets/raise/utils.py
@@ -27,12 +27,9 @@ def denoise(imageNpArray, denoiserName):
     return imageDenoisedNpArray

 class iterativeMean():
-    mean = None
+    mean = 0
     numberOfElementsInMean = 0

     def addElement(self, element):
-        if self.mean is None:
-            self.mean = element
-        else:
-            self.mean = ((self.mean * self.numberOfElementsInMean) + element) / (self.numberOfElementsInMean + 1)
+        self.mean = ((self.mean * self.numberOfElementsInMean) + element) / (self.numberOfElementsInMean + 1)
         self.numberOfElementsInMean += 1
\ No newline at end of file
```
2024-04-26 14:16:35 +02:00
7684e1408d Remove unused imports in split_and_compare_prnus_of_subgroups.py 2024-04-26 13:58:19 +02:00
9c469cf67a Leverage utils.py denoise in split_and_compare_prnus_of_subgroups.py 2024-04-26 13:58:00 +02:00
9d2903af60 Move denoise from extract_noise.py to utils.py
See next commit leveraging it in `split_and_compare_prnus_of_subgroups.py`
2024-04-26 13:57:18 +02:00
6a93b04686 Remove already used previous temporary analysis commit code 2024-04-26 13:49:31 +02:00
b52fff9deb Add commented code to enforce merging Numpy arrays with a greyscale
colormap.
2024-04-26 13:48:44 +02:00
3ffcd33efe Add Gaussian filter to blur images when using mean as denoiser
See
https://docs.scipy.org/doc/scipy-1.13.0/reference/generated/scipy.ndimage.gaussian_filter.html#ba1e4df0-d4be-47c2-81e5-059286837a2b.
2024-04-26 04:39:06 +02:00
9641641b61 Remove commented code from analyze_bayer_filter_mean_denoiser.py 2024-04-26 04:13:08 +02:00
3e8b607b97 Add analyze_bayer_filter_mean_denoiser.py 2024-04-26 04:12:13 +02:00
f1cafc1eb1 Improve yticks of boxplot in flat-field_pointer.py 2024-04-26 04:10:41 +02:00
25b3b30634 Remove a commented print in plot_dates.py 2024-04-26 04:10:02 +02:00
3ada720db9 Add execution results, plot of locations and distance analysis 2024-04-26 03:05:17 +02:00
56037b058b Add Zoom to rectangle by default 2024-04-26 01:49:57 +02:00
f5c235c3cd Add support to TIF for RAISE flat-field 2024-04-26 01:49:13 +02:00
ab72da470e Ready for pointing 2024-04-26 01:34:55 +02:00
981e2a48ae Add flat-field_pointer.py
https://matplotlib.org/3.8.4/gallery/event_handling/coords_demo.html
2024-04-26 01:21:20 +02:00
1e8d9d844c Make plot_dates.py leverage photo exifs 2024-04-26 00:52:52 +02:00
7cfe566290 Add plot_dates.py as it is as a Matplotlib example
https://matplotlib.org/3.8.0/gallery/lines_bars_and_markers/timeline.html
2024-04-26 00:51:12 +02:00
719bb487dd Restore other than raw images support 2024-04-25 18:12:36 +02:00
f88b6ec1a9 Save mean of each color channel to merge them into a single image being
the mean of images

Otherwise for each color channel could use:

```py
plt.imsave(f'{fileName}.png', colorMean)
```
2024-04-25 16:00:23 +02:00
4907d0c0fb Add and use saveNpArray 2024-04-25 15:59:26 +02:00
65708e4977 Correctly implement mean denoiser
Used to have:

```py
imageDenoisedNpArray = imageNpArray - means[color]
imageNoiseNpArray = imageNpArray - imageDenoisedNpArray
```

so:

```py
imageNoiseNpArray = means[color]
```

then we mean the mean...

While should have:

```py
imageDenoisedNpArray = means[color]
```
2024-04-25 15:58:24 +02:00
60a4f78fa6 Ease providing {min,max}Color 2024-04-25 15:30:23 +02:00
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
322e201048 Update annotations 2024-04-09 04:06:49 +02:00
fed5698e84 Update annotations 2024-04-09 03:43:17 +02:00
283fa781e5 Add articles/Bayer filter - Wikipedia/ 2024-04-09 03:16:11 +02:00
Benjamin Loison
bc06612501 Make extract_noise.py easier to configure by providing denoiser 2024-04-08 04:52:29 +02:00
38d29e3c8f Add articles/Binomial distribution - Wikipedia/ 2024-04-07 22:59:09 +02:00
502ac5d14e Update annotations 2024-04-07 22:58:50 +02:00
6f3623fb44 Add articles/Luminance — Wikipédia/ 2024-04-07 22:33:57 +02:00
1c264ff405 Update annotations 2024-04-07 22:31:28 +02:00
9ed68af7e1 Add articles/Luminance - Wikipedia/ 2024-04-07 22:22:23 +02:00
9468bda3df Update annotations 2024-04-07 19:58:31 +02:00
3f47afb165 Add articles/Résumé de cours Variables aléatoires finies/ 2024-04-07 18:11:39 +02:00
68797b1470 Update annotations 2024-04-07 17:33:52 +02:00
dfe5b6ac38 Add articles/Random variable - Wikipedia/ 2024-04-07 17:24:05 +02:00
8651242c2b Update annotations 2024-04-07 17:21:29 +02:00
08d9cdc900 Add articles/Bernoulli distribution - Wikipedia/ 2024-04-07 17:17:36 +02:00
75f674cd95 Update annotations 2024-04-07 17:11:41 +02:00
ca1fa73c49 Add articles/Inflection point - Wikipedia/ 2024-04-07 17:09:30 +02:00
3d366eb426 Update annotations 2024-04-07 16:59:19 +02:00
70e5ef902d Add articles/Central limit theorem - Wikipedia/ 2024-04-07 16:52:25 +02:00
7301e2fe35 Update annotations 2024-04-07 16:50:40 +02:00
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
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
171 changed files with 6812 additions and 25 deletions

1
.gitignore vendored
View File

@@ -1,2 +1,3 @@
*.pdf
*.xopp
__pycache__

View File

@@ -6,6 +6,7 @@ from wiener_filter import wienerFilter
# Assume greyscale PIL image passed.
# What about other color channels? See #11.
# `THRESHOLD` seems to have been designed to assume 256 range based images.
def contextAdaptiveInterpolator(I, IImage, showProgress = False):
rImage = Image.new('L', (IImage.size[0] - 2, IImage.size[1] - 2))
r = rImage.load()

View File

@@ -14,5 +14,13 @@ def rmsDiffPil(im1, im2):
map(lambda h, i: h*(i**2), h, range(256))
) / (float(im1.size[0]) * im1.size[1]))
def rmsDiffNumpy(image0, image1):
def normalizeImage(image):
image = image - image.min()
image = image / image.max()
return image
def rmsDiffNumpy(image0, image1, normalize = False):
if normalize:
image0 = normalizeImage(image0)
image1 = normalizeImage(image1)
return np.sqrt(np.mean(np.square(image0 - image1)))

View File

@@ -0,0 +1,41 @@
from PIL import Image, ImageFont, ImageDraw
import numpy as np
from matplotlib import pyplot as plt
import os
def randomGaussianImage(scale, size):
return np.random.normal(loc = 0, scale = scale, size = size)
# `cmap` source: https://matplotlib.org/3.8.0/api/_as_gen/matplotlib.pyplot.imshow.html
def showImageWithMatplotlib(npArray, title = None, cmap = 'viridis'):
if title is not None:
plt.title(title)
plt.imshow(npArray, cmap = cmap)
plt.show()
def toPilImage(npArray):
return Image.fromarray(npArray)
def getPrnuShownAsSuch(size, gaussianNoise = 0):
# Supports `WIDTH` > `HEIGHT` and conversely.
WIDTH, HEIGHT = size
TEXT = 'PRNU'
imagePil = Image.new('L', size)
draw = ImageDraw.Draw(imagePil)
fontPath = os.path.expanduser('~/.local/share/fonts/impact.ttf')
for fontSize in range(1, HEIGHT + 1):
font = ImageFont.truetype(fontPath, fontSize)
if font.getlength(TEXT) > WIDTH:
break
# Center vertically, especially in the case `HEIGHT` > `WIDTH`.
draw.text((0, HEIGHT // 2 - fontSize // 2), TEXT, 255, font = font)
imageNpArray = np.array(imagePil)
gaussianNoiseNpArray = randomGaussianImage(gaussianNoise, size[::-1])
#prnuShownAsSuch = imageNpArray + gaussianNoiseNpArray
prnuShownAsSuch = imageNpArray
for y in range(HEIGHT):
for x in range(WIDTH):
if prnuShownAsSuch[y, x] != 0:
prnuShownAsSuch[y, x] += gaussianNoiseNpArray[y, x]
return prnuShownAsSuch

View File

@@ -0,0 +1,63 @@
<?xml version="1.0" standalone="no"?>
<xournal creator="Xournal++ 1.1.3" fileversion="4">
<title>Xournal++ document - see https://github.com/xournalpp/xournalpp</title>
<page width="595.00000000" height="842.00000000">
<background type="pdf" domain="absolute" filename="2007-dirik-sencar-memon--source-camera-identification-based-on-sensor-dust-characteristics.pdf" pageno="1"/>
<layer>
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<stroke tool="highlighter" color="#ffff007f" width="6.49543277">54.64755889 359.12331596 91.00263775 359.12331596</stroke>
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<stroke tool="highlighter" color="#ffff007f" width="8.50000000">193.01109400 357.40383042 242.99373049 357.40383042</stroke>
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<stroke tool="pen" ts="0" fn="" color="#00c0ffff" width="1.41000000">61.60710290 375.96234695 75.81633644 375.96234695</stroke>
<stroke tool="pen" ts="0" fn="" color="#00c0ffff" width="1.41000000">113.20904876 376.67009796 195.75458849 376.67009796</stroke>
<stroke tool="pen" ts="0" fn="" color="#00c0ffff" width="1.41000000">234.09591663 375.62984062 296.70967767 375.62984062</stroke>
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https://en.wikipedia.org/w/index.php?title=Convolution&oldid=1212399231

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sin(x)</text>
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