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Deconvolution: Detail Recovery from Seeing-Limited and Diffraction-Limited Data

A before-and-after image of StarTools' deconvolution module
200% zoomed crop input and output. Left: original, right: Decon result. Thanks to signal evolution Tracking, and despite stretching, local dynamic range optimization and noise presence, Decon is able to recover the finest details without introducing artifacts, or the need for support masks or manual intervention.

StarTools' Deconvolution module allows for recovering detail in seeing-limited and diffraction-limited datasets.

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 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.

StarTools' signal evolution Tracking functionality allows the Decon module to achieve results that have no equal in other software, as it allows Decon to uses further information on how you stretched your image.



Use the free trial version for as long as you need

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