As some here asked, I’m trying to write a sort of tutorial for processing a nightscape in Siril.
For this purpose, I’m sharing the raw files I used for the image I presented here, except that for this tutorial I limited the number of frames for the sake of bandwidth and processing speed. You can find and download the raw files here.
The raw files are placed in distinct subfolders according to their use:
- bias/offset frames ->
- dark frames ->
- flats field frames ->
- main subject/light frames ->
Bias, dark and flat field frames are also called “calibration” frames, their purpose being to improve the quality of the image by correcting the signal-to-noise ratio (the role of the bias and darks) and vignetting (the role of the flats). There are several places, such as this one, where you can grab some info about the different types of frames for astrophotography.
At the root of the folder, I placed two text files with
.ssf extension, these are scripts used by Siril for batch processing the files. Quite useful. I you want to run a script from Siril, place the
.ssf files in
~/.siril/scripts. On restarting Siril, a new
Scripts menu appears in the top menu bar, allowing you to launch the installed scripts.
I suggest you download the whole folder, and move the scripts as indicated above. This way, if you set the working directory in Siril to the root of the folder, launching the script named
processing_from_raw.ssf will automagically process the raws and create the output image in both
.tif (16-bit) formats.
I will present the steps I used to process an image of the Milky Way. I don’t know if it’s the best way, but it’s probably close to what the developers of Siril advise to do for the general case starting from raw files (actually, I started from one of their scripts and just slightly adapted it).
We will start with processing the calibration files, and then processing the lights.
The first step is to set the working directory to the root of the folder by clicking on “Change dir…”:
1. Preparing the bias frames:
We will use the 20 bias frames to generate a master-bias frame. To load the bias frames, click on the “+” button as shown (make sure that you select “RAW DSLR Camera Files” in the combo box) and select the bias frames located in the
In the “Sequence name” field, enter “bias” (or whatever you see fit) to set the prefix of the sequence and subsequent files, and click “Convert” to convert the files to the FITS format, which is the main format used by Siril. Note that you don’t need to demosaic the files yet, make sure the “Debayer” box is unchecked.
When done converting the bias frames, a window will pop up showing a preview of one of the bias frames. Note that since it’s not demosaiced, it will only show as a B&W channel image.
At this point, the bias frames are loaded and ready to be processed to make a master-bias frame.
Now go to the “Stacking” tab, and choose “Average stacking with rejection” as stacking method, and “No normalisation” under the normalisation combo box. You can leave the Sigma parameters at their default (unless you know or want to experiment for better values). It should look like this:
Clicking on the “Start stacking” button. The resulting master-bias frame will be saved as
bias_stacked.fit in the
2. Preparing the flat field frames:
Since the flats also contain the sensor readout noise (contained in the bias frames), we should remove it by subtracting the master-bias.
First, go back to the “File conversion” tab, remove the files already loaded by clicking on the button located just below the “-” button, and by clicking on the “+” button select and load the flat frames located in the
Flats subfolder. Like for the bias frames, “Debayer” should be left unchecked, and click on “Convert”.
Go to the “Pre-processing” tab, check only the “Use offset” box, click on “Browse” to select the
Bias/bias_stacked.fit file, and click on “Start pre-processing”:
Now to generate the master-flat, go to the “Stacking” tab, this time set Normalisation to “Multiplicative” (and still “Average with rejection” for the stacking method) and click on “Start stacking” to produce the
pp_flat_stacked.fit master-flat frame in the
3. Preparing the dark frames:
As for the bias and flats, you need to load the dark frames. Go back to the “File conversion” tab, remove the files already loaded, select and load the dark frames located in the
Darks subfolder. Again, “Debayer” should be left unchecked, and click on “Convert”.
The darks need to be stacked the same way as the bias frames. In the “Stacking” tab, choose “Average with rejection” and “No normalisation”, and click on “Start Stacking”:
Now the master-dark frame is saved as
Note: if you take images often in the same conditions (same air temperature, same exposure settings) you save the
pp_flat_stackedfiles, and re-use them to process future light frames faster. I read on some forums that some astrophotographers keep their calibration files and use those for around 1 year, before taking new calibration frames.
4. Preparing the light frames:
Now it’s time to start processing the light frames, by first subtracting the darks (which also contain the bias signal) and the flats (from which bias has already been subtracted).
As before, select and load the light frames in the “File conversion” tab, still without debayering.
Then go to the “Pre-Processing” tab, check “Use dark” and select the
Darks/dark_stacked.fit file, then check “Use flat” and select the
Flats/pp_flat_stacked.fit file. Make sure that the other boxes are checked as in the following screenshot:
Note that “Cosmetic Correction” can also be done from the “Image Processing” tab.
Click on “Start pre-processing”, this will produce new FITS files with the prefix
pp_light_ and the corresponding
.seq file. These files are loaded, and now before the next steps it’s time to demosaic them. There’s something strange in the GUI, in that after pre-processing, when you uncheck “Use dark” and “Use flat” boxes, the “Debayer FITS images before saving” and the “Start pre-processing” button become grayed out.
To demosaic the files, you have to go back to the “File conversion” tab, remove the selected files and load the 10
pp_light_000xx.fitfiles, check now the “Debayer” box, write “db_pp_light” as the sequence name, and click “Convert”:
The pre-processed lights will be saved as FITS files, and the corresponding
db_pp_light.seq file loaded. Two preview windows will open this time, one with the 3 RGB channels separated, and one with the RGB composite image.
Now go to the “Register” tab, and simply click “Go register” keeping the default option. If you have more 8GB of RAM, you can try checking the “Simplified Drizzle x2” box (it will up-sample the images by a factor 2, increasing the RAM usage by a factor 4). Siril will detect the stars and register each of the 10 images. The preview windows will be updated. By the way, you can play with the zoom and select “AutoStretch” to get a better preview of the selected image:
Next, go to the “Stacking” tab and make sure that “Average with rejection” is still selected as stacking method, and that “Additive with scaling” is set for Normalisation. Click on “Start stacking”. The resulting aligned and stacked image will be saved as
Lights\r_db_pp_light_stacked.fit. At this step, you can also save the resulting image as JPEG, TIFF, PNG, etc. for further processing in your favorite image editor.
5. Post-processing the image
Siril can do some more or less specialized post-processing to your image. I found it interesting to use.
- While the stacked image is still loaded in Siril, you can apply a log transform (it is in linear mode in Siril). I haven’t found how to do it in the GUI, but you can simply type “log” in the “Console” field at the bottom of the main window.
- Still in the console field, you can use the command “crop” followed by the coordinates of the bounding box in pixels, to crop the image (some auto-detection tools in Siril require the image to be cropped to remove the borders introduced by aligning the images, in order to work properly). For example, my image can be cropped by typing “crop 30 30 5950 3970”.
- You can apply green noise removal in the “Image Processing” tab > “Remove Green Noise…”.
- Lucy-Richardson deconvolution can be applied in “Image Processing” tab > “Deconvolution…”. 10 iterations and a Sigma value of 0.6 are a good starting point.
The resulting image can be saved as JPEG, TIFF, PNG, etc. for further processing in your favorite image editor or as a finished image if you’re satisfied.
6. Processing for the foreground
The “problem” with this whole process, is that because the images have been aligned with the stars as reference, the foreground will be blurred because earth moved between successive frames. What I do is to reprocess the light frames from just after the calibration step (i.e. after the dark and flat frames subtraction) but only skipping the stars registration step. By doing so, the foreground will undergo the same pre- and post-processing, and the resulting image will have a sharp foreground and trailing sky.
I provided a script (
processing_from_raw_foreground.ssf) which will do that for you, if you already used the first script or if you use the same file naming convention as in the script.
Finally, in your favorite image editor, you can combine the “sky” and “foreground” images using a mask, to get both the sky and the foreground sharp.
Here’s what I obtained following these steps (but using the scripts), after just combining the 2 images in Gimp:
And after quick curve and saturation tweaking in Gimp:
Feel free to let me know if some instructions are not clear enough, or if I can improve this tutorial in any way (typos, omissions, or anything). Thanks for reading!