Deconvolution: Detail Recovery from Seeing-Limited Data

Top: before deconvolution. Bottom: after deconvolution. (200% zoom)

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.

Combined with StarTools unique Tracking feature, Decon is able to perform matematically correct deconvolution, even after heavy stretching a processing. (300% zoom)

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!


You may also be interested in...
  • Bin: Trade Resolution for Noise Reduction under Modules

    Similarly, deconvolution (and subsequent recovery of detail that was lost due to atmospheric conditions) may not be a viable proposition due to the noisiness of an initial image.

  • Usage under AutoDev

    AutoDev finds the best compromise global curve, given what detail is visible in your image and your preferences.

  • Flux: Automated Astronomical Feature Recognition and Manipulation under Modules

    Knowing which features probably represent real DSO detail, the Fractal Flux is an effective de-noiser, sharpener (even for noisy images) and detail augmenter.

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StarTools

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