Wednesday, 20 March 2024

Using Starnet++ in Siril

Click on any image to see a closer view

The following will show a workflow (that is not absolutely rigid) but will work. Practice and you will master it.

 Open your autosave.tif in Siril


Click on Autostretch so you can see what the image contains (remember that Autostretch only affects the preview and does not change the underling data)

Click on Image Processing and Geometry

Select Rotate&Crop (you are not going to rotate, just crop)

Pull the red edges of the crop box into the image to get rid of any unwanted stuff at the edges

Click on apply when you have selected the crop area

Click on Image Processing and Star Processing

Select StarNet Star Removal

Make sure the two boxes shown are checked and click Execute
 
A progress bar will move slowly at the bottom right and the stars will eventually be removed

Click on Image Processin and Background extractio

Use the left click button to put selection points all over the image but not on any nebulae or other structures. If you need to, you can remove a point by right clicking on it.

Click on Compute Background and you will see it change and most gradients will be gone

Click on apply and the selection points will go.

Select Linear rather than Autostretch

The image will become darker and will need stretching

Select Image Processing and Asinh Transformation and pull the slider(s) a little

Select Image Processing and Generalised Hyperbolic Stretch Transformations. Pull the sliders as shown and click Apply

You will have to pull the sliders again as shown and click Apply.

Select Image Processing and Histogram Transformation
Pull the sliders from the left and right and Click apply

Repeat. The idea is to darken the background a bit and to brighten the nebula a bit. Finish by pulling the left slider up the the histogram and click Apply

We now have an image with the nebulae showing and the background darkish

Select Image Processing and Star Processing

Select Star Recomposition

You will be presented with two charts that are empty, the left one is for Background Stretch Parameters and the right one is for Star Stretch Parameters.
When the Star removal stage was done, the computer stored the starless image and the starmask (stars) images probably in your pictures folder. 

To load the starless data and the starmask data into the Star Recomposition dialogue click on the two folder symbols to the right of the words None.
This will put both he starless background and the stars back together in the image on the left. However, they can be adjusted independently. The sliders should be pulled for each control until the background looks OK and the stars are bright enough, but not too overwhelming. You may want to click Apply and stretch one or the other, or both some more. When you have done, click Close.

You may want to use Image Processing and Histogram Transformations again at this stage clicking Apply to set the effect.

Finish with the left slider up against the edge of the histogram Click Apply to set the effect.

You might want to gently apply some colour saturation

Then, at the top of the Window Click on Save as a different filename and give it a sensible name

It can still be saved as a 32 bit image

Once saved, it can be opened in the Gimp for some last tweeking and to reduce its bit depth.
REMEMBER when you open a colour FITs file in Gimp to click on the NAXIS as shown in the image below or it will not be a colour image.

Here the Levels are being adjusted to darken the background a bit and increase the mid tones a bit

Now we change the bit depth to 8 bits

Making sure the Perceptual gamma is selected, click on Convert.

Click on Export as and choose a sensible filename and type .png is best as you can make it uncompressed

Make sure that the result is going into the folder you want, and most importantly, make sure that compression is set to zero, you will see that you can save this as default so your png files will always be uncompressed.

Your final image

This has been to show a workflow that will take stars away, allow the starless image to be manipulated and then the stars put back to any extent you want. It also shows that Gimp can and should be used at the end for final tweaking and to get the final image in the right format: 8 bit, png with a sensible name, in a folder where you can find it.

Friday, 2 September 2016

AstroCrop for Linux

Earlier in the year I reported that Nicola Mackin and I had published an article in Popular Astronomy on AstroCrop, Windows software for the precise cropping of images.

AstroCrop for Windows

This was developed particularly for Bridge camera imaging using a static tripod for the rapid collection of solar or lunar images, that inevitably will have significant movement of the object of interest and that Registax will be unable to cope with the movement between images. The resulting registered, cropped images can then be used easily by Registax for stacking and wavelet processing.
Nicola is a very experienced programmer and has now ported AstroCrop over to Linux.

Splash Screen of AstroCrop for Linux

The cropping area defined

Stack of 98 Bridge camera images cropped in AstroCrop for Linux, Stacked and Wavelet processed in Registax 5.1 in the Windows compatibility layer Wine and Post Processed in The Gimp 2.9, which can work with 16 bit files.


The Linux version will be released as soon as testing is complete and an installer is constructed.

Tuesday, 22 March 2016

Jupiter-Moon Conjunction March 21/22, 2016

A tripod mounted Panasonic Lumix DMC-FZ72 bridge camera was set to ISO 100 and 1/60s exposure and zoomed to F = 35mm, (35mm equivalent of  217mm) to capture the conjunction. A single exposure was captured using a 2s time delay to avoid camera shake. The JPG image was processed in Camera RAW and then Photoshop:



Wednesday, 20 January 2016

88%, waxing, gibbous Moon

A tripod mounted Panasonic Lumix DMC-FZ72 bridge camera at 60x optical zoom was used to image the 88% waxing, gibbous Moon. The camera was set to  ISO-100 and 1/250s exposure at f/5.9. 101 images, were precisely cropped and registered in Nicola Mackin's AstroCrop software, stacked and wavelet processed in Registax 5.1 with post processing in Photoshop.



Sunday, 17 January 2016

How to capture rapidly, register and precisely crop, bridge camera images of the Sun or Moon

On January 15, A tripod mounted Panasonic Lumix DMC-FZ72 bridge camera at 60x optical zoom was used to image the 38% waxing, gibbous Moon. The camera was set to  ISO-100 and 1/250s exposure at f/5.9. 102 images, were precisely cropped and registered in Nicola Mackin's AstroCrop software, stacked and wavelet processed in Registax 5.1 with post processing in Photoshop:

38% waxing, gibbous Moon


The way that large numbers of images are captured in a short time is to use a static, robust tripod, and to hold the camera firmly whilst capturing the images. The camera is set to maximum optical zoom, with an appropriate shutter speed for the subject. the ISO is set to 100 to minimise noise and to set the camera to burst mode. The camera used here captures 3 images per burst, but other cameras may capture more. The Sun or Moon is kept as close to the centre of the field of view of the preview screen and focus lock is used so that the camera does not need to refocus for each burst capture. About 100 images are relatively easy to capture rapidly.
The images captured by the camera used here are 4608 x 3456 pixels in size, which means that even a small apparent movement of the subject between images, is in fact, a very large movement in terms of pixels. Too large, usually for Registax to be able to cope with the movement between images when it comes to stacking the images. What is required is to be able to precisely crop around the Sun or Moon in exactly the same way in every image, so that the cropped images can be presented to Registax with virtually no movement between images. This is a laborious task if done manually, which led Nicola Mackin and myself to develop AstroCrop software for registering and precisely cropping images. Nicola did all of the coding and I produced the required statistical algorithms.
In the Nov/Dec issue of Popular Astronomy, we published an article about AstroCrop:


The software can be downloaded from the website asys-software.co.uk The download website also has a short video showing AstroCrop in action with a small data-set showing extreme movement of the subject between images. There is also a PDF set of instructions on how to use the software.
Nicola Mackin, the programmer of the software was an IT professional for more than 25 years. She ran the European IT technical work for an International printing company. She now runs an independent publishing company aSys Publishing , publishing authors' work to the highest professional standards of the industry.
Nicola is also the programmer of the Aspect Ratio Corrector used to correct images captured by PAL video cameras.

Tuesday, 29 September 2015

Crepuscular rays, Sundogs and Circumzenith arcs

A Panasonic Lumix DMC-FZ72 bridge camera was used in automatic mode to capture these images of atmospheric phenomena:

Crepuscular rays

Best seen when the Sun is low in the sky

Parhelia (Sundogs)

Caused by hexagonal ice crystals

Setting sundog


Circumzenith arc

Caused by hexagonal ice crystals acting as prisms