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moonomaly

Interesting paper on minimising atmospheric disturbance.

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It is interesting, and technically, repeatable even with digital exposures, but probably not as effective as normal stacking?

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I was wondering about how it would be done programmatically and then stacking came to mind, his hardware setup is pretty busy!

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This seems to be close to calculating the standard deviation of an image from the average stacked image and using this to weight the stack.  Somewhat like lucky imaging.   In effect, a simple to compute version of a Bayesian, or Kalman, estimator. 

I've played with this briefly a while ago, but not long enough to come to any real conclusion.

anyway, SO much easier these days to throw away all the hardware difficulties and just give it a whirl in software. 

 

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I do remember Richard Gregory... one of the original "TV Scientists"! ?

Can be difficult to evaluate whether a technique is applicable in a 
different context. Was just reading some interesting papers re. the
recent "clarified" images of Titan... using Band Ratio  techniques!
Also used to process satellite images to empasise features and/or
reduce the effects of "atmosphere". I suppose it reminds me that
a lot of Physics Data processing uses *subtractive* techniques to
emphasise signal to background. Worthy of software experiment?  ?
</wibble>

 

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6 hours ago, AKB said:

anyway, SO much easier these days to throw away all the hardware difficulties and just give it a whirl in software. 

Yep, thank you Pixinsight :)

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