These are some helpful links and tutorials related to StarTools and other image processing resources.
You may also find it helpful to know that the icons in the top two panels roughly follow a recommended workflow.
Much of StarTools revolves around signal evolution Tracking from start to finish. As such, familiarising yourself with how it works, is recommended to get the most out of your experience and your dataset.
If you have a correctly stacked dataset, this quick, 7-step guide will get you processing your first image with StarTools in no time at all.
StarTools will not work correctly (or work poorly) with an incorrectly stacked dataset. Getting a suitable dataset from your free or paid stacking solution, is extremely important.
This is a basic workflow showing how real-world, imperfect data from a DSLR can be processed in StarTools. The workflow details data prep, bias / gradient / light pollution removal, stretching, deconvolution, color calibration and noise reduction. Please see video description on YouTube for the actual datasets and other resources.
This video shows how processing a complex Hubble Space Telescope SHO dataset is virtually just as easy as processing a simple DSLR dataset in StarTools 1.5. Aside from activating the Compose module, your workflow and processing considerations are virtually the same. Please see video description on YouTube for datasets and other resources.
This is a very basic workflow using defaults, showing how the new Compose module (replacing the LRGB module in StarTools 1.5) makes complex LLRGB compositing and processing incredibly easy. The workflow details the usual data prep, bias/gradient removal, stretching, deconvolution, color calibration and noise reduction. You will notice this workflow is substantially similar to any other StarTools workflow, even though we are dealing with a complex composite of luminance, synthetic luminance, and color data all at once. Please see video description on YouTube for datasets and other resources.
This is a small selection of StarTools tutorials and resources, created by StarTools users.
If you are looking for datasets from amateur astrophotographers to practice with, there are a number for useful resources.
Processing is meant to be fun! If you really need help with a particular dataset, jump on the forums or contact us directly for some pointers - even if you're just using the trial.
StarTools was created to complement the many freely available stacking and pre-processing solutions with unique, state-of-the art post-processing functionality.
Many stacking solutions provide rudimentary post-processing functions as well. Please note that only pre-processing and stacking should be performed in these applications in order for StarTools' signal evolution Tracking to work and achieve optimal results; Tracking cannot track signal and noise propagation that happened in other applications. As such, please do not stretch, color calibrate, perform gradient removal, or perform any other operations beyond initial calibration in these applications.
Thank you StarTools for turning my average photos into amazing ones.
Signal evolution Tracking data mining plays a very important role in StarTools and understanding it is key to achieving superior results with StarTools.
Chances are that the image looks terrible, which is - believe it or not - the point.
AutoDev will keep solving for a global strecth that best shows the detail in your RoI.
You can convert everything you see to a format you find convenient. Give it a try!