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Siril is able to process '''planetary''' images (many small images) as well as '''deep sky''' images (a few large images with full pre-processing data). Registration is able to automatically align (translation only) planetary images, using [https://en.wikipedia.org/wiki/Discrete_Fourier_transform DFT], as well as deep-sky images, using [http://en.wikipedia.org/wiki/Point_spread_function PSF] on a reference star, as long as the shift between images in not too large. The manual alignment capability makes it also well fitted for amateur astronomers having bad quality images that automatic tools fail to align properly.
Siril is now fully capable to pre-process and process '''deep sky''' images (when built from latest source). One feature is still missing for '''planetary''' images processing is the automatic image quality evaluation, in other words image sorting, which makes the processing results quite low quality. The new star detection registration is perfect for deep sky images, but there are also two automatic translation-only registrations, one more suited for planetary and bright nebula images, based on [https://en.wikipedia.org/wiki/Discrete_Fourier_transform DFT], and another more simple targetted at deep-sky images, based on [http://en.wikipedia.org/wiki/Point_spread_function PSF] on a single reference star. Additionally, a manual alignment capability makes it also well fitted for amateur astronomers having feature-less or bad quality images that automatic tools fail to align properly.

Revision as of 13:38, 2 October 2015

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Siril is now fully capable to pre-process and process '''deep sky''' images and lucky imaging deep-sky sequences. It is still not capable of doing multi-point registration and stacking, which is required for high resolution imagery like '''planetary''' imaging. The new star detection registration is perfect for deep sky images, but there are also two automatic translation-only registrations, one more suited for full-image planetary and bright nebula images, based on [https://en.wikipedia.org/wiki/Discrete_Fourier_transform Fourier transform], and another more simple targeted at deep-sky images, based on [https://en.wikipedia.org/wiki/Point_spread_function PSF] on a single reference star. Additionally, a manual alignment capability makes it also well fitted for amateur astronomers having feature-less or bad quality images that automatic tools fail to align properly.

Siril is now fully capable to pre-process and process deep sky images (when built from latest source). One feature is still missing for planetary images processing is the automatic image quality evaluation, in other words image sorting, which makes the processing results quite low quality. The new star detection registration is perfect for deep sky images, but there are also two automatic translation-only registrations, one more suited for planetary and bright nebula images, based on DFT, and another more simple targetted at deep-sky images, based on PSF on a single reference star. Additionally, a manual alignment capability makes it also well fitted for amateur astronomers having feature-less or bad quality images that automatic tools fail to align properly.

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