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Tutorial for a complete image processing

Once you get your pre-processed and stacked image (fore more details see here), the process stage can start.

This tutorial will present to you which different processes you can use, however there are no absolute rules. Feel free to try many processus by adjusting parameters. We will use the image used in the preprocessing step, M8-M20.

Color calibration

First, we need performing a balancing of the colors of a linear RGB. Siril provides a tool of color calibration. Two steps are necessary: You must select a background area with no stars and click on "select" in the "black selection" frame. Click on "background neutralization" will neutralize the background by aligning median values. In the second step, you need to select the "white selection" area. So, make a slection containing a nebula part and click on apply. Be warn that black selection MUST be always selected. However, your image must be cropped before in order to remove any frame that could misleading the tool.

Siril color calibration M8-M20.png

Midtones Function Transfer

Now you have a nice stacked and calibrated linear RGB, you can convert your image to a non-linear one. Siril provides an histogram transformation called Midtones Transfer Function also used in PixInsight (http://pixinsight.com/doc/tools/HistogramTransformation/HistogramTransformation.html). By adjusting midtones sliders and shadows sliders iteratively (generally we do not use the highlight sliders) you will apply the histogram transformation. Pay attention to not clip to much pixels. Although Midtones Function Transfer is very similar to Gamma curves adjustment, they are not identical.

Siril MTF.png

Background extraction

By selecting "Histogram Equalization" as display view, you can quickly check that image contains sky gradient due to light pollution, or in this case, Moon light.

Siril inal result.png

The rainbow colormap can also help you to see the gradient:

Siril gradient rainbow.png

So, this step consists to remove this sky gradient. To do that, Siril provides a background extraction tool.

Once you have a background model with no signal from nebula (use the display mode to check everything), you can apply the correction.

Siril gradient 2D.png

Two types of corrections have been implemented in Siril:

  • Subtraction
  • Division

Additive phenomena like light pollution gradients should be corrected by subtraction but multiplicative effects like vignetting should be fixed by a division. But in the last case, the correct procedure is to correct the image with flat field during pre-processing step.

Siril gradient.png

After the tool were applied, you should check the background neutralisation, and, maybe, apply a new midtone correction.

Green Noise Reduction

Last step in this processus is to reduce the green noise with the "Remove Green Noise" tool.

The final result is illustrated in the picture below: Siril M8-M20 processed.png