PixInsight Process Portfolio
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Learning Path Content & Exercises
Pixel Math
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An Introduction to PixelMath
Pixel Math is a fundamental part of PixInsight. It should not be viewed as an advanced feature- instead it is a method to access data…
Useful Pixel Math
Published 2022-12-10 Here is another video that highlights Pixel Math. It demonstrates the DBE misconception, narrowband pedestals, and copying one part of an image…
Pixel Math is NOT scary! : Crosshairs (two videos)
Published 2021/01/02 This lesson uses Pixel Math to construct crosshairs on an image. Don’t need crosshairs? That is OK. This section was inspired by…
Image/Preview Insertion
Note: There is now a script that does this for you! A kind developer made it after watching my videos… Here is the expression…
Gradients (Linear and Circular)
This is a members-only video found in PixInsight: Fundamentals: Pixel Math: Section 02.
Elliptical Gradients
Fundamentals: Pixel Math: Section 03. This video highlights Adam’s innovation on creating ellipse masks at arbitrary rotational angles and including a radial gradient. This expression…
Checkboard Puzzle
This is a members-only video found in PixInsight: Fundamentals: Pixel Math: Section 04. This lesson shows how Adam first delved into Pixel Math- by creating…
Image and Process Containers
Image and Process containers are grouped together in this category because they both enable batch operations. In addition History States are also covered in this section since they are a special of a process container.
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Image Container
An image container is a super useful way to batch process images. Perhaps you want to rotate a fraction of your images 180 degrees… use…
Process Containers and History States
Process Containers are a super powerful general purpose feature of PixInsight. I am still not certain I communicated how useful they are- but as they…
Image Containers with Process Containers
This video shows an example of using both Image and Process containers simultaneously to batch process images. This video is part of the PixInsight Fundamentals…
MLT and MMT
Pixinsight uses the mathematical tools of multiscale signal processing through wavelets in many of its processes. Few other processing programs make this such an important component of the fundamental way images are accessed and manipulated. The following lessons introduce some basic concepts about image signal processing and Fast Fourier transs (FFTs). An understanding of how operating in the frequency domain can be a powerful way to process astronomical images leads to the concept of Wavelets. Unlike FFTs, wavelets yield frequency ination at various spatial scales that map to image structures which are of great interest to an astroimager. By operating on ination in the Wavelet domain, many interesting image enhancements and noise reductions can be accomplished that would otherwise by too tedious or impossible to do in any other way.
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Introduction to Signal Processing
Published 07/25/2019 This is the first introductory lesson that explains some basic ideas of signal processing using cyclic functions (Sine Waves). We live in…
Fast Fourier Transforms leading to Wavelets
Published 07/26/2019 In this lesson a basic understanding of Fast Fourier transforms is presented. It is mostly a visual demonstration of the important mathematical…
Introduction to MLT
Published 07/26/2019 The lesson highlights the parameters and features of MLT. Knowledge of the previous lessons, both in this category and elsewhere, give us…
Using Bias to Enhance
Published 07/31/2019 In this lesson the Bias enhancement is demonstrated to add contrast to a famous object (the Lagoon Nebula). Additionally a quick mask…
Using Noise Reduction
Published 08/03/2019 In this section (part 5) we look at the behavior of noise reduction when using MLT and its associated algorithms. The Linear…
Differences between MLT and MMT
Published 08/03/2019 In this final section comparisons are made between algorithms and processes based on assertions made on the PixInsight Forum (by Juan Conjero)…
HDRMT
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HDRMT Lagoon Nebula (Simple Example)
This is a members-only video lesson protected by copyright (Clear Skies Astronomy LLC).
HDRMT Usage (NGC 2022)
This is a members-only video lesson protected by copyright (Clear Skies Astronomy LLC).
HDRMT with Pixel Substitution (NGC 4691)
HDRMT with Pixel Substitution Published 2018 In this video I mention you can review my expression for image insertion in a previous lesson. It is…
HDRMT complex Example (NGC 5866)
Published 2018 This is a pretty old video now. Please look to many of the WORKFLOW demonstrations where I use HDRMT in its most…
Inverted HDRMT Example (Eclipse with Earthshine)
This video shows a technique to bring out the subtle details of Earthshine in a solar eclipse image. This is a…
Linear Fit
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Linear Fit: Part 1 (Theory)
Published 08/17/2018 In this section on Linear Fit, images are graphically compared to show relationships between them in order to show how the fitting…
Linear Fit: Part 2 (Practical Examples)
Published 08/17/2018 In this lesson we explore some practical uses of Linear Fit while being on the look out for some common pitfalls. Matching…
Linear Fit: Part 3 (Batch)
Published 08/17/2018 Batch processing of Linear Fit can be done using an image container or the BatchLinearFit script.
Linear Fit: Part 4 (RGB Lightness Technique)
Published 08/17/2018 This lesson shows the steps for matching the lightness of an RGB image to a Luminance image in order to facilitate blending…
Linear Fit: Part 5 (RGB Color Balance Screed)
Published 08/17/2018 In this lesson, until otherwise persuaded/corrected, I rail against the sometimes used technique of “balancing” RGB data through the use of LinearFit.…
Morphological Transation
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Morphological Transformation Part 1
Published 07/16/2018 This video examines Morphological Transformation in detail. The working part of the tool is the small matrix (“kernel” like structure) that employs…
Morphological Transformation Part 2
Published 07/16/2018 This is part 2 of Morphological Transformation. On a self-critical note- It isn’t as succinct as I would like, but it does…
SubFrameSelector (SFS)
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SubFrameSelector: Part 1
Published 05/09/2020 This lesson provides a detailed overview of SubFrame Selector. Ultimately an understanding of image approval and weighting provides a foundation for many…
SubFrameSelector: Part 2
Published 05/09/2020 Measure and Approve frames using SubFrameSelector.
SubFrameSelector: Part 3
Published 05/09/2020 In this last part I explain how common weighting schemes are arrived at and how they work. This lesson in particular explains…
SubFrameSelector: Part 4 ("Advanced")
Published 05/09/2020 This final section (perhaps I do more demonstrations in the future?) shows an “advanced” example. If you already made it through the…
Common Processes
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Color Saturation
This is a members-only video lesson protected by copyright (Clear Skies Astronomy LLC).
Noise Generator
Published 07/15/2018 In this lesson we look at the surprising benefits of PixInsight’s NoiseGenerator process. Although counterintuitive, it can be used to solve many…
To Screen or Unscreen
Published 03/07/2023 This video covers Russ Croman’s StarExterminator and addresses the question as to when you went to unscreen images (or not).
Blink Process Videos (Making an Animation/MP4 video)
Published 2024-12-31 This video shows the latest method to create animations (MP4 videos) using the Blink process. The variable star RZ Cassiopeia is shown.…
Blink Process: Animations
Published 03/18/2020 This is an older video. There is a newer one to watch as well. In this video, for completeness, the Blink process is…
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Description
A hands-on guide to understanding and applying PixInsight’s essential tools as a curated set of PixInsight’s most important and widely used processes.
This isn’t just button-pushing—each topic is designed to give you both the practical know-how and the underlying concepts that drive better, more confident processing decisions.
From the numerical power of PixelMath to the structure-enhancing power of wavelets (via MLT and MMT), and from HDRMT and Morphological Transformation to smart usage of tools like SubFrameSelector, LinearFit, and Process Containers, this course connects the dots between tools, theory, and technique.
Whether you’re still learning your way around PixInsight or looking to sharpen your understanding of how these processes really work, the Portfolio is packed with useful demonstrations, thoughtful explanations, and real-world context.
