StarTools' Deconvolution module allows for recovering detail in seeing-limited data sets that were affected by atmospheric turbulence.
The Deconvolution algorithm in StarTools is so fast, that previewing and experimentation to find the right parameters can be done in near-real-time.
The Deconvolution module incorporates a new regularization algorithm that automatically finds the optimum balance between noise and detail and puts you in control of this trade-off in an intuitive way.
A novel de-ringing algorithm ensures stars are protected from the Gibbs phenomenon (also known as 'panda eye effect'), while actually being able to still coalesce singularities like over exposed white cores of stars into point lights. You have full control over your de-ringing mask during the operation (not just before).
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.
'Brightness/Color detail loss' specifies a measure of allowed acceptable detail loss in order to reduce noise.
AutoDev finds the best compromise global curve, given what detail is visible in your image and your preferences.
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