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* [[Siril:Tutorial_sequence|Work on a sequence of converted images]]
* [[Siril:Tutorial_sequence|Work on a sequence of converted images]]
* [[Siril:Tutorial_preprocessing|Pre-processing images]]
* [[Siril:Tutorial_preprocessing|Pre-processing images]]
* [[Siril:Tutorial_manual_registration|Registration (PSF image alignment)]]
* [[Siril:Tutorial_manual_registration|Registration (Global star alignment)]]
* [[Siril:Tutorial_stacking|Stacking]]
* [[Siril:Tutorial_stacking|Stacking]]

Revision as of 17:25, 2 August 2015

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Siril processing tutorial

Convert your images in the FITS format Siril uses (image import)

To process your images with Siril, you must convert them to the FITS format it uses (16-bit unsigned, bottom-top order, 1 or 3 axes). Fortunately, Siril is able to convert some image formats to this format, RAW, TIFF, JPEG, PIC (Christian Buil IRIS image format) PNG, BMP and NetPBM binaries for images, AVI for films.

First, the working directory has to be set. Images will be converted to this directory. Click on "Change dir" at bottom right of the window to change it or type cd [you directory] in the console input command.

Since the RC1 version, conversion tab has been improved to become more user friendly. First of all, the box "Convert" must be checked in order to process conversion into the FITS Siril format. Then, click on the "+" button to add the files to be converted. All supported formats, except FITS, can be selected at same time and will be converted in a sequence of files starting with the generic name you've specified just below. Name_XXX

Siril conversion screen.png Siril conversion screen2.png

Note the message warning you that RAW files are converted to CFA (Color Filter Array) monochrome FITS picture. It is necessary to pre-process DSLR images with this mode. Indeed, due to Bayer matrix consideration, the RGB result of your RAW image is an interpolate picture. In consequence it is useless to pre-process interpolated data because it will give wrong result. Contrary to RGB image, CFA image represent the entire sensor data with the Bayer pattern. The following image shows you a crop of a CFA image. Note that the Bayer pattern (RGGB on this example) is visible.

Siril Bayer Pattern.png

Next item of the tutorial: Work on a sequence of converted images.