Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Author SHA1 Message Date
Benjamin_Loison 3ada720db9 Add execution results, plot of locations and distance analysis 2024-04-26 03:05:17 +02:00
Benjamin_Loison 56037b058b Add Zoom to rectangle by default 2024-04-26 01:49:57 +02:00
Benjamin_Loison f5c235c3cd Add support to TIF for RAISE flat-field 2024-04-26 01:49:13 +02:00
Benjamin_Loison ab72da470e Ready for pointing 2024-04-26 01:34:55 +02:00
Benjamin_Loison 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
Benjamin_Loison 1e8d9d844c Make plot_dates.py leverage photo exifs 2024-04-26 00:52:52 +02:00
Benjamin_Loison 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
Benjamin_Loison 719bb487dd Restore other than raw images support 2024-04-25 18:12:36 +02:00
Benjamin_Loison 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
Benjamin_Loison 4907d0c0fb Add and use saveNpArray 2024-04-25 15:59:26 +02:00
Benjamin_Loison 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
Benjamin_Loison 60a4f78fa6 Ease providing {min,max}Color 2024-04-25 15:30:23 +02:00
Benjamin_Loison 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
Benjamin_Loison 674ce8dabe Use relative path for os.chdir in generate_histogram.py 2024-04-25 14:36:38 +02:00
Benjamin_Loison 807f586841 Remove no more relevant print in show_mean_noise.py 2024-04-25 14:28:36 +02:00
Benjamin_Loison 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
Benjamin_Loison e2602347d4 Use a single figure to generate histogram 2024-04-25 12:39:24 +02:00
Benjamin_Loison 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
Benjamin_Loison be9d4f8f4b Add denoiser mean possibility 2024-04-23 04:39:28 +02:00
Benjamin_Loison a15b356e16 Add and use getImageNpArray 2024-04-23 04:38:40 +02:00
Benjamin_Loison 809aa7fb43 Correct Rafael images filtering 2024-04-23 04:37:46 +02:00
Benjamin_Loison e3bbb2c63d Precise possibilities for denoiser 2024-04-23 03:57:43 +02:00
Benjamin_Loison 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
Benjamin_Loison 9365b58d1d #49: Remove intermediary bias by not working on images but numpy arrays instead 2024-04-19 17:21:54 +02:00
Benjamin_Loison 675b01271a #49: Remove shift per color channel 2024-04-19 17:19:47 +02:00
Benjamin_Loison 77330e24d2 Make datasets/raise/merge_single_color_channel_images_according_to_bayer_filter.py production ready 2024-04-18 01:21:31 +02:00
Benjamin_Loison 0b52e781e3 First try to merge multiple single color channel images 2024-04-18 01:00:41 +02:00
Benjamin_Loison 6aca1126a1 Complete dict assignment 2024-04-18 00:53:15 +02:00
Benjamin_Loison 3636335b63 Add match statement 2024-04-18 00:52:08 +02:00
Benjamin_Loison be91a07dd5 Add and use getImageFileNameByColor 2024-04-18 00:43:14 +02:00
Benjamin_Loison 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
Benjamin_Loison 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