226936020e Remove comments of {min,max}Color
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-13 01:43:33 +02:00
Use same color map for different images to more accurately compare them

Could compute proportion of pixels for mean outside largest other denoisers band.

But it may be a significant proportion exceeding not much, so should maybe just plot distribution of pixel…

Benjamin_Loison opened issue Benjamin_Loison/linux#23 2024-05-13 00:45:47 +02:00
How to write ISO to USB key like Disk Image Writer?
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-12 03:15:38 +02:00
Use same color map for different images to more accurately compare them

Could locate such maximums to potentially see visually other outliers.

Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-12 03:10:39 +02:00
Use same color map for different images to more accurately compare them
>>> index = -100; np.partition(npArray.flatten(), index)[index]
27.28
>>> index = 100; np.partition(npArray.flatten(), index)[index]
-26.35
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-12 02:54:58 +02:00
Use same color map for different images to more accurately compare them

Could be interesting to just add a line with raw images.

Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-10 02:25:41 +02:00
Use same color map for different images to more accurately compare them

Should make similar plot for RAISE flat-field to maybe understand why Rafael images are absorbing in #63.

Use non-local means denoiser
c1d0ec5155 Add articles/Summed-area table - Wikipedia/
cfddb71f00 Add articles/Non-local means - Wikipedia/
Remove manually in the Fourier domain periodic patterns
Use a low-pass filter denoiser
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#52 2024-05-10 00:49:31 +02:00
Automate GIMP best brightness and contrast to ease visualization?

If the images are normalized, despite inner bounds different distributions have same contrast modification, right?

934add5d91 Add boxplot for the specified denoisers
73fb61b16d Correct missing denoiser usage
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Use same color map for different images to more accurately compare them
8523c02517 Fix #68: Use same color map for different images to more accurately compare them
3e332c19d8 Remove unnecessary from PIL import Image
Compare 2 commits »
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-09 23:51:45 +02:00
Use same color map for different images to more accurately compare them
denoiser = bilateral np.min(multipleColorsImage) = -0.04890543970650529 np.max(multipleColorsImage) = 0.047219058067642594
denoiser = wavelet np.min(multipleColorsImage) = -0.0536033284528025…
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#68 2024-05-09 23:28:47 +02:00
Use same color map for different images to more accurately compare them
plt.imsave(PREFIX + 'multiple_colors.png', multipleColorsImage, vmin = multipleColorsImage.min(), vmax = multipleColorsImage.max())

is identical to:

plt.imsave(PREF