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Author	SHA1	Message	Date
Benjamin_Loison	96bbd50a3b	Generalize with a partial image SPLIT_N_X_N	2024-03-29 12:57:56 +01:00
Benjamin_Loison	4bf9ef8206	Add splitNxN compatible with 1 and 4	2024-03-29 12:44:42 +01:00
Benjamin_Loison	60eceb575e	Simplify grayscale rendering	2024-03-29 12:16:13 +01:00
Benjamin_Loison	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
Benjamin_Loison	5fa61f7ff8	Make PRNU compatible with 4x4 split	2024-03-29 11:23:48 +01:00
Benjamin_Loison	8351e46437	Comparison of an image without and with Gaussian noise and PRNU	2024-03-29 01:55:46 +01:00
Benjamin_Loison	2f66e82f22	Show both RMS and RMS normalized	2024-03-29 01:47:01 +01:00
Benjamin_Loison	3ccec5bbd0	Add RMS computation	2024-03-29 01:35:48 +01:00
Benjamin_Loison	f297060f42	Split images in 4x4 to increase PRNU estimation accuracy	2024-03-29 01:21:26 +01:00
Benjamin_Loison	9b57d3441c	Render PRNU estimate taking into account all images	2024-03-29 01:10:31 +01:00
Benjamin_Loison	d59a251b1f	Revert to some extent previous commit	2024-03-29 01:07:48 +01:00
Benjamin_Loison	4382b3d649	Add PRNU_FACTOR 0.1 and 0.01 view on a single figure	2024-03-29 01:05:28 +01:00
Benjamin_Loison	dfe2540c02	Apply Context-Adaptive Interpolator	2024-03-29 00:06:13 +01:00
Benjamin_Loison	9a3cfd7ba1	Add PRNU showing such	2024-03-28 22:24:16 +01:00
Benjamin_Loison	ba5a1b742b	#24: Make executions reproducible	2024-03-28 22:20:40 +01:00
Benjamin_Loison	a99e942d3a	Add datasets/noise_free_test_images/estimate_prnu.py	2024-03-28 17:06:58 +01:00
Benjamin_Loison	0953fb7475	Add issue reference to datasets/fake/generate_dataset.py	2024-03-28 17:06:36 +01:00
Benjamin_Loison	82e7026264	Add algorithms/image_utils/image_utils.py and move there randomGaussianImage and showImageWithMatplotlib	2024-03-28 16:32:38 +01:00
Benjamin_Loison	70ccb094d5	Rename randomImage to randomGaussianImage	2024-03-28 16:18:32 +01:00
Benjamin_Loison	64eaeddf98	Update annotations	2024-03-28 15:26:57 +01:00
Benjamin_Loison	18d34a3101	Add datasets/noise_free_test_images/no_noise_images.zip.txt	2024-03-28 15:25:21 +01:00
Benjamin_Loison	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
Benjamin_Loison	5af7afaf75	Add datasets/noise_free_test_images/	2024-03-28 15:03:57 +01:00
Benjamin_Loison	77d6c038fe	Update annotations	2024-03-28 14:50:45 +01:00
Benjamin_Loison	69368a9057	Add articles/Law of large numbers - Wikipedia/	2024-03-28 14:50:41 +01:00
Benjamin_Loison	abfc9772e8	Update annotations	2024-03-28 14:47:13 +01:00
Benjamin_Loison	d716574973	Update annotations	2024-03-26 18:23:30 +01:00
Benjamin_Loison	2093f2e613	Update annotations	2024-03-26 18:21:12 +01:00
Benjamin_Loison	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
Benjamin_Loison	811b355989	Add articles/Shot noise - Wikipedia/	2024-03-26 18:20:28 +01:00
Benjamin_Loison	cfe718da7d	Make x-axis logarithmic	2024-03-26 02:32:03 +01:00
Benjamin_Loison	2bc13c5949	#21: Make a RMS curve depending on the number of images considered for the mean	2024-03-26 01:59:22 +01:00
Benjamin_Loison	c2862eaf43	#21: Incorrect mean, as it is a RMS mean, not a mean of images	2024-03-26 01:55:08 +01:00
Benjamin_Loison	f181a3498c	Correct Image wuthout PRNU rendering and precise that it is the first image	2024-03-26 01:45:47 +01:00
Benjamin_Loison	03f52a5bd1	Finish Matplotlib figure showing PRNU estimation by averaging	2024-03-25 20:45:51 +01:00
Benjamin_Loison	2baf9c3000	Add and use rmsDiffNumpy	2024-03-25 20:14:33 +01:00
Benjamin_Loison	7c7cbad0ef	Rename rmsdiff to rmsDiffPil	2024-03-25 20:01:51 +01:00
Benjamin_Loison	8b0b58953d	WIP: Matplotlib figure showing PRNU estimation by averaging ... Committed to showcase Benjamin_Loison/Pillow#4.	2024-03-25 19:45:46 +01:00
Benjamin_Loison	044d25cbaa	Add and use showImageWithMatplotlib	2024-03-25 18:37:09 +01:00
Benjamin_Loison	8575da5b1d	WIP: Getting PRNU by averaging on fake dataset	2024-03-25 17:45:01 +01:00
Benjamin_Loison	72e37a252a	Add algorithms/distance/rmsdiff.py	2024-03-22 13:59:41 +01:00
Benjamin_Loison	cf22ff2694	Add comments	2024-03-22 12:59:52 +01:00
Benjamin_Loison	d818714344	CAI over images mean does not seem better	2024-03-22 12:57:24 +01:00
Benjamin_Loison	464e43861b	Prefer *mean* over *average*	2024-03-22 12:54:34 +01:00
Benjamin_Loison	41926663b7	Correct a typo but PRNU classifier still looking random	2024-03-22 12:51:34 +01:00
Benjamin_Loison	36f5b69f5e	First PRNU classifier acting randomly it seems	2024-03-22 12:46:13 +01:00
Benjamin_Loison	a9adf2d53d	Compare RMS difference between average images and the average CAI images ... #9 (comment)	2024-03-22 12:11:26 +01:00
Benjamin_Loison	452dd755fc	First PRNU distance test	2024-03-22 11:58:34 +01:00
Benjamin_Loison	92ede944c7	Not satisfying due to zero offset	2024-03-22 11:42:47 +01:00
Benjamin_Loison	c287d5f0ef	Add an use toPilImage	2024-03-22 11:39:51 +01:00