Getting started with the Heal module in StarTools is a fairly straightforward affair; simply put any unwanted pixels in a mask and let the module do its thing. The more pixels are in the mask, the more the Heal module will have to 'invent' and the longer the Heal module will take to produce a result.
By using the advanced parameters, the Heal module can be made useful in a number of advanced scenarios.
The 'New Must Be Darker Than' parameter lets you specify a brightness value that indicates the maximum brightness a 'new' (healed) pixel may have. This is useful if you are healing out areas that you later wish to replace with brighter objects, for example stars. By ensuring that the 'new' (healed) background is always darker than what you will be placing on top, you can simply use, for example, the Lighten mode in the Layer module.
The 'Grow Mask' parameter is a quick way of temporarily growing the mask (see Grow button in the Mask editor). This is useful if your current mask did not quite get all pixels that needed removing.
The 'Quality' parameter influences how long the Heal module may look for substitutes for each pixel. Higher quality settings give marginally better results but are slower.
The 'Neighbourhood Area' parameter sets the size of the local area where the algorithm can look for good candidate seed pixels.
The 'Neighbourhood Samples' parameter is useful if you are looking to generate more 'interesting' areas, based on other parts of the image. It can be useful for a large area being healed to avoid small repeating patterns. This feature is useful for terrestrial photography, however, this is often not needed or desirable for astrophotographical images. If you do not wish to use this feature, keep this value at 0.
The 'New Darker Than Old' parameter sets whether newly created pixels should always be darker than the old pixels. This may be useful for manipulation of the image in the Layer module (for example subtracting the healed image from the original image).
This guide lets you create starless linear data using StarNet++ and the Heal module. Even if you wish to use StarNet++ on your final image, you will find that using this guide to extract the a starmask, the Heal will achieve superior results when removing the stars that StarNet++ identified.
A great website with useful information and many datasets that are of a quality achievable by most people on a modest budget.
The Stereo 3D module can be used to synthesise depth information based on astronomical image feature characteristics.
However the Synth module can physically model and emulate most real optical systems and configurations to obtain a desired result.
As opposed to other approaches (for example wavelet-based ones), the HDR module enhances dynamic range allocation locally (not just globally).
It governs the range of detail sizes HDR should concentrate on, in order to bring out the most detail.
You can convert everything you see to a format you find convenient. Give it a try!