TL;DR
In StarTools, your signal is processed (read and written) in a time-fluid way, by means of an ever changing equation for every pixel. Being able to change the past for a better future not only gives you amazing new functionality, changing the past with knowledge of the future also means a much cleaner signal. Tracking always knows how to accurately estimate the noise component in your signal, no matter how heavily modified. Unnecessary subjectivity, sub-optimal sequences and overcooking are - literally - taken out of the equation, yielding vastly better results in less time.
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- L. B., United States (under Testimonials)
I'm relatively new to image processing and just wanted to say how straight forward and powerful StarTools is.
- Understanding regularization (under Usage)
The latter settled SNR-measurements can than be taken into account by the Regularization algorithm to yield the most appropriate results for your image.
- Step 1: Import, start Tracking (under Quick Start)
Open an image stack ("dataset"), fresh from a stacker.
- Step 8 (under Quick Start)
- Introduction (under Features & Documentation)
You are forgiven if, at first glance, you get the impression StarTools offers only the basics.