Processes

This section describes the use of Masked Stretch and highlights some of its benefits as well as characteristic consequences/artifacts.

ESD is now my favorite pixel rejection method! I explain the math behind the magic in this section so that you can feel confident using it as well. It has not be a part of PixInsight for very long- but in my trials so far- I have not seen any downsides to its use. 

This final section (perhaps I do more demonstrations in the future?) shows an "advanced" example. If you already made it through the previous sections- you might enjoy this as a test of your understanding. Otherwise it is optional... (but again, kinda cool!).

In this last part I explain how common weighting schemes are arrived at and how they work. This lesson in particular explains the equation/expression the WBPP uses- which makes the demonstration (hopefully) valuable. 

Measure and Approve frames using SubFrameSelector.

This lesson provides a detailed overview of SubFrame Selector. Ultimately an understanding of image approval and weighting provides a foundation for many other aspects of image analysis and quality control of data. 

In this final section comparisons are made between algorithms and processes based on assertions made on the PixInsight Forum (by Juan Conjero) and tutorial materials. The "rules of thumb" outlined here are referenced below the video. (As to whether my conclusions based on my approach to verify these statements are valid... that is open to debate. :) ).

In this section (Part 5) we look at the behavior of noise reduction when using MLT and its associated algorithms. The Linear Masking feature is also demonstrated. 

In this lesson the Bias enhancement is demonstrated to add contrast to a famous object (the Lagoon Nebula). Additionally a quick mask is created with MLT it is applied to show the full versatility PI components working together.