This remarkable feature is responsible for never-seen-before functionality that allows you to, for example, apply deconvolution to heavily processed data. The deconvolution module "simply" travels back in time to a point where the data was still linear (deconvolution can only be applied to linear data!), does its thing and then Tracking forward-propagates the changes. The result is exactly what your processed data would have looked like with if you had applied deconvolution earlier and then processed it further. But wait, there's more!
Time travelling like this is very useful and amazing in its own right, but it there is another major, major difference in StarTools' deconvolution module.
The major difference, is that, because you initiated deconvolution at a later stage, the deconvolution module can take into account how you processed the image after the moment deconvolution should normally have been invoked (e.g. when the data was still linear). In a sense, the deconvolution module now has knowledge about a future it should normally never have been privy to. Specifically, that future tells it exactly how you stretched and modified every pixel after the time its job should have been done, including pixels' noise components.
You know what really loves per-pixel noise component statistics like these? Deconvolution regularization algorithms! A regularization algorithm suppresses the creation of artefacts caused by the deconvolution of - you guessed it - noise grain. Now that the deconvolution algorithm knows how noise grain will propagate in the "future", it can take that into account when applying deconvolution at the time when your data is still linear, thereby avoiding a grainy "future". It is like going back in time a week and telling yourself the lottery numbers to today's draw.
What does this look like in practice? It looks like a deconvolution routine that just "magically" brings into focus what it can. No local supports, luminance masks, or selective blending needed. No exaggerated noise grain, just enhanced detail. And that's just what Tracking does for the deconvolution module. There are many more modules that rely on Tracking in a similar manner.
Creating a suitable de-ringing mask that works very well in most cases, is done in a single click!
The Bin module puts you in control over the trade-off between resolution, resolved detail and noise.
It doesn't stop there however – the Fractal Flux module can use any output from any other module as input for the flux to modulate.
As a result, it sports image quality and unique functionality that far surpasses other software.
To establish this baseline, increase the 'Grain size' parameter until no noise grain of any size can be seen any longer.
We have received your message and will be in contact shortly.×
You can convert everything you see to a format you find convenient. Give it a try!