The Layer module is an extremely flexible pixel workbench for advanced image manipulation and pixel math, complementing StarTools' other modules.
It was created to provide you with a nearly unlimited arsenal of implicit functionality by combining, chaining and modulating different versions of the same image in new ways.
Features like selective layering, automated luminance masking, a vast array of filters (including Gaussian, Median, Mean of Median, Offset, Fractional Differentation and many, many more) allow you to emulate complex algorithms such as SMI (Screen Mask Invert), PIP (Power of Inverse Pixels), star rounding, halo reduction, chromatic aberration removal, HDR integration, local histogram optimization or equalization, many types of noise reduction algorithms and much, much more.
This mask should contain all pixels we wish to deconvolve (green in the mask editor), and exclude all pixels that are not suitable (not green in the mask editor).
The Heal module was created to provide a means of substituting unwanted pixels in an neutral way.
As of the 1.4. beta versions, StarTools stores the masks you used in the StarTools.log file.
This may be useful for manipulation of the image in the Layer module (for example subtracting the healed image from the original image).
This guide lets you create starless linear data using StarNet++ and the Heal module.
You can convert everything you see to a format you find convenient. Give it a try!