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un:siril [2026/01/25 22:04] – [Stretching] shahalun:siril [2026/01/31 00:32] (current) – [1. Data preparation] shahal
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 ===== - Data preparation ===== ===== - Data preparation =====
 +Test OSC data link: https://drive.google.com/drive/folders/1ULlncwRit-lAi5jrdkFx1ytKaImHEuOl?usp=sharing
  
 Generally there are three kinds of calibration files. Darks, Flats and Biases.  Generally there are three kinds of calibration files. Darks, Flats and Biases. 
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 For denoising, there are three options:   For denoising, there are three options:  
-''Full'' applies noise reduction to the entire image.   + ''Full'' applies noise reduction to the entire image.   
-''Luminance'' applies denoising only to the brightness channel.   + ''Luminance'' applies denoising only to the brightness channel.   
-''Both'' applies denoising to both luminance and color channels simultaneously.  + ''Both'' applies denoising to both luminance and color channels simultaneously.   
 +Before Denoise:  
 +{{:un:siril_denoise1.jpg|}} 
 +After Denoise 
 +{{:un:siril_denoise2.jpg|}} 
  
 For sharpening, you can choose:   For sharpening, you can choose:  
-''Stellar sharpening'', which targets only the stars, enhancing their crispness.   + ''Stellar sharpening'', which targets only the stars, enhancing their crispness.   
-''Full sharpening'', which enhances both stars and non-stellar structures such as nebulae and galaxies.  + ''Full sharpening'', which enhances both stars and non-stellar structures such as nebulae and galaxies. 
 +Before Sharpening:    
 +{{:un:siril_sharp1.jpg|}} 
 +After Sharpening: 
 +{{:un:siril_sharp2.jpg|}}
  
 Cosmic Clarity uses AI models trained on astronomical images to intelligently separate stars from background structures and noise, enhancing fine details while minimizing artifacts for a cleaner and sharper final image. Cosmic Clarity uses AI models trained on astronomical images to intelligently separate stars from background structures and noise, enhancing fine details while minimizing artifacts for a cleaner and sharper final image.
  
un/siril.1769403874.txt.gz · Last modified: by shahal

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