Siril:Tutorial preprocessing/fr

Prétraitement

• Convert your images in the FITS format Siril uses (image import)
• Work on a sequence of converted images
• → Pre-processing images
• Registration (PSF image alignment)
• Stacking

Pré-traiter ses images

Lorsqu'une séquence est chargée, les images peuvent être pré-traitées. Le pré-traitement est une étape optionnelle mais fortement recommandée. Elle implique de posséder des images darks (noires), offsets/bias (Décharge) et flats (PLU).

• BIAS (OFFSET)

Une image BIAS est une image prise dans le noir total (capuchon fermé) et à la vitesse la plus rapide. En pratique, sur les appareils photos reflex modernes, cela correspond à la vitesse de 1/4000s. Le BIAS va contenir le bruit électronique ainsi que le signal de lecture de l'appareil photo. Afin d'introduire le moins possible de bruit dans l'image pré-traitée, il est recommandé de prendre un grand nombre d'images BIAS (>20), d'autant plus que leur prise est simple et rapide. Enfin, notez que la prise des BIAS doivent se faire au même ISO que les images à pré-traiter.

Voici un master BIAS calculé à partir de 10 images avec l'empilement médian.

• DARK

Les images darks sont prises avec un temps d'exposition et un ISO identiques aux images à pré-traiter, mais dans le noir. Encore une fois, vous pouvez utiliser le capuchon de l'objectif ou bien celui du télescope. Ils doivent également être fait à une température très proche des images enregistrées. C'est pour ça qu'il est recommandé de les faire en tout fin de session ou bien au milieu. De la même façon que pour les BIAS, plus le nombre d'images dark enregistrées sera important et moins le bruit ajouté aux images pré-traitées sera important.

Voici un master dark obtenu à partir de 10 images dark et calculé à partir de l'empilement médian.

• FLAT

Telescopes usually do not illuminate the detector homogeneously. Moreover, dust on optical surfaces and sensor lead to dark spots on resulting image. To correct these effects one need to divide each light images by the master flat which is the median of single exposure of a homogeneously illuminated area.

Siril automatically evaluates the normalisation coefficient used in the flat division. However, this value can be over-evaluated and in this case you will be warned into the console output. For example you can have this output :

Overflow detected, change level value in settings: 3278.00 is too high.

So, the solution consists to uncheck the auto-evaluation in settings and define your own value, smaller than 3278 in this example.

Here, a master flat, calculated from 10 single images with median method. Note that vignetting and dust are visible. Bayer pattern is also visible.

Only one frame can be given for each of these three, and it has to be in Siril's FITS format. They should be created by median stacking, so you need to convert the source images to FITS, load the sequence and stack them before using them here. We'll assume this is done. For more info about stacking, see the Siril:Manual#Stacking section below.

The pre-processing does not overwrites original FITS files from the sequence but creates new FITS files with the pre-processed data. The new file names are the same than the original prefixed with pp_ if you leave the default value in the prefix box. Below is an example of pre-processing using offset and dark files. Make sure that loaded sequence is the sequence of your light frames.

• Result of pre-processing

The result of a single frame pre-processed is given below. Note how dust have been removed from the light frame.

Another example of a well executed pre-processing stage is illustrated in the next animation. Look how the pixels of the thermic signal are removed from the picture.

• Demosaicing (for Bayer-Pattern images only)

Last step in pre-processing images consist in getting back Red, Green and Blue channels using interpolation algorithms. To do that, Siril gives the choice between 4 different algorithms. - VNG (default) - Bilinear (low quality but fast) - AHD - Super Pixel (no interpolation, the pattern RGGB, or other, is used as a super pixel and the image size is divided by four). Make your choice in the window below by clicking on Settings and Debayer tab.

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To process the demosaicing, go back to Conversion Tab and fill the field as the example below:

Then click on the Debayer Button which should be sensitive. The demosaicing process should start and will take some time following the method you used and the CPU you own.

Finally you will have a new set of pre-processed light frames that you could register. Please note that at this stage you always have a lot of noise in your image. Indeed, pre-processing images with Dark, Bias and Flat do not remove noise but unwanted signal. The following Picture shows you the result of demosaicing. It is displayed in Histogram Equalization mode in order to enhanced the visibility of signal but without altering your image.

Next item of the tutorial: Registration (manual image alignment).