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.
The Heal module was created to provide a means of substituting unwanted pixels in an neutral way.
Please note that most datasets will need to be converted to an uncompressed TIFF format.
StarTools keeps a detailed log of what modules and parameters you used.
You can convert everything you see to a format you find convenient. Give it a try!