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.
Thank you StarTools for turning my average photos into amazing ones.
'Brightness/Color detail loss' specifies a measure of allowed acceptable detail loss in order to reduce noise.
StarTools' AutoDev module uses image analysis to find the optimum custom curve for the characteristics of the data.
StarTools' Detail-aware Wavelet Sharpening allows you to bring out faint structural detail in your images.
StarTools' Deconvolution module allows for recovering detail in seeing-limited and diffraction-limited datasets.
You can convert everything you see to a format you find convenient. Give it a try!