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.
Please note that most datasets will need to be converted to an uncompressed TIFF format.
The Stereo 3D module can be used to synthesise depth information based on astronomical image feature characteristics.
The De-Noise module offers detail-aware, astro-specific noise reduction, which, paired with StarTools' Tracking feature, yields results that have no equal.
StarTools' Deconvolution module allows for recovering detail in seeing-limited and diffraction-limited datasets.
Through the Compose module, StarTools is able to process luminance and color information separately, yet simultaneously.
You can convert everything you see to a format you find convenient. Give it a try!