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Resampling Large Datasets in PixInsight

Resampling Large Datasets in PixInsight
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In this tutorial, Telescope Live tutor Nik Szymanek demonstrates how to efficiently resample large astrophotography datasets using PixInsight, making advanced processing more manageable on lower-spec systems. Working with 119MB sub-exposures from a QHY-600M CMOS camera, Nik shows how to reduce file size without sacrificing quality. Key steps include:
Setting Up ImageContainer and Output Directory:
- Load full-size files into PixInsight’s ImageContainer and configure a dedicated output folder for resampled images.
Using the Re-sample Process:
- Open a reference image, input scaling values (e.g. 60%), and preserve aspect ratio to downscale the dataset to half its original size.
Executing the Batch Resample:
- Drag the ImageContainer into the Re-sample tool, monitor the resampling process, and manage minor warnings about astrometric data.
Post-Resample Integration:
- Combine the resampled images into SHO masters and apply tools like Blur Exterminator and Star Exterminator with improved speed and efficiency.
This tutorial offers a clear, repeatable workflow for reducing data overhead while maintaining processing quality.
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Bernard Miller
A US-based, multi-APOD astrophotographer with over twelve years of experience in deep sky imaging
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Mark Johnston
I have been fascinated by the night sky since I ‘discovered’ Saturn with my 60mm refractor at the age of 10. An APOD-winning astrophotographer, I have been published in Sky & Telescope, Astronomy Magazine, and Space.com. As a NASA Solar System Ambassador, I have conducted thousands of public outreach programs and am a registered cruise ship speaker on astronomy and space science, as well as a Director of the Phoenix Astronomical Society. I frequently post astrophotography images, news, and tutorials on social media. My solar imaging and videos are particularly popular, and I have conducted extensive research on solar cameras and solar image processing techniques.
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Warren Keller
A US-based, multi-APOD imager and author with over twenty years' experience.
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Peter Jenkins
Amateur Astrophotographer & Fellow of the Royal Astronomical Society specialising in Nebulae mostly presented using the Hubble Palette
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Adam Block
FastTrack your understanding of the HOW and WHY of astronomical image processing with renowned Adam Block.
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Jarmo Ruuth
Amateur astrophotographer, author of AutoIntegrate and Astro Mosaic.
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Damian Peach
A multi-award winning astrophotographer with over 25yrs experience.
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The Ultimate Astrophotography Toolkit for Beginners

The Ultimate Astrophotography Toolkit for Beginners
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Introducing the Ultimate Astrophotography Toolkit for Beginners: a FREE Video Series That Will Open the Gates to the World of Astrophotography - No Experience Needed
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ATTENTION: To download the Siril scripts, scroll down this page till the specification list. You will find the download button under “Associated dataset”. Now click on the Download button. You will be redirected you will be redirected to our forum where you can download the zip file of the scripts. Follow the instructions contained in part 2 of this video series to learn how to use them on Siril.
Part 1: SIRIL is the most powerful tool for both new and veteran astrophotographers, in addition to being free and open source it has many tools and features that make it ideal for astrophotographers getting started. In this video we’re going to download SIRIL and pick out a suitable one-click observation to download. It’s everything you need to get started with this tutorial series.
Part 2: Scripts are a very important part of processing your Telescope Live images, this video will show you how to easily integrate scripts into your SIRIL workflow to make registering and stacking your Telescope Live images much easier. Additionally we will have a look at the various framing tools and different types of data that these scripts can work with.
Part 3: One thing every astrophotographer needs to know is histogram manipulation. In this video we will look at two different methods for histogram manipulation to get the most information out of your data. This video will take the newly created colour images (thanks to the scripts) and turn them from a few stars into a magnificent astrophoto.
Part 4: After you’ve brought your image to life with some histogram stretches, you’re going to want to make sure your image is colour accurate. This video will show you how to process the green noise out of hubble palette images, as well as a colour correction method that can be applied to all astro images. Finally we will enhance the saturation to enrich the colours within your image.
Part 5: A quick sidestep here to StarNet ++; this powerful tool allows you to completely remove the stars from any nebulae image. While it is personal preference, in this tutorial we’re going to be applying this process to our image to focus solely on the nebulosity.
Part 6: Finally to wrap up, we’re going to look at a very easy to use sharpening tool to further enhance the details in your astro image. This powerful tool is very easy to use and can be used for most astro images. Finally we’re going to crop and frame our image to a region of interest and post it on the Telescope Live gallery.
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Generalized Hyperbolic Stretch - An Improved Way to Stretch Your Images in Pixinsight

Generalized Hyperbolic Stretch - An Improved Way to Stretch Your Images in Pixinsight
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Generalized Hyperbolic Stretch or GHS is a Pixinsight script designed to give you a new and improved approach to stretching your astrophotography images in Pixinsight. Adam Block will cover installing the script & module, the basics of the interface, the core principles of GHS, and the several use cases for this script.
To install GHS, follow the instructions below:
1) From within Pixinsight, go to: Resources > Updates > Manage Repositories
2) In the Manage Update Repositories dialog, click the Add button
3) In the URL box, type the GHS repository information as follows: https://www.ghsastro.co.uk/updates/
4) In the Add Pixinsight Repository dialog, click the OK button
5) In the Manage Update Repositories dialog, click the OK button
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