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Efficient Resampling and SHO Integration in Astro Pixel Processor
Efficient Resampling and SHO Integration in Astro Pixel Processor
1745330532
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New Tutorials
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Beginner-Friendly Gradient Removal and Denoising with GraXpert
Beginner-Friendly Gradient Removal and Denoising with GraXpert
1744126573
In this tutorial, Telescope Live tutor Nik Szymanek introduces the latest version of GraXpert, a free AI-powered tool for astrophotographers. Nik demonstrates how to process a dataset of NGC 660 using GraXpert’s intuitive workflow, including gradient correction, deconvolution, and denoising. Key steps include:
Interface Overview and Setup:
- Install GraXpert, download required AI models, and prepare your image with basic cropping to remove dithering artefacts.
Gradient Removal with AI Background Extraction:
- Use the AI mode for a simplified alternative to PixInsight’s DBE, with sigma and saturation controls for fine-tuning.
Deconvolution and Denoising:
- Apply AI-based deconvolution and denoising with recommended starting values, using preview modes to compare results.
Saving and Exporting:
- Save the final image in 32-bit FITS or 16-bit TIFF format, optionally retaining the applied stretch for further editing in Photoshop or Affinity Photo.
Nik’s walkthrough shows how GraXpert can streamline core astrophotography tasks with minimal complexity.
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Our tutors
Bernard Miller
A US-based, multi-APOD astrophotographer with over twelve years of experience in deep sky imaging
- Astrophotographer
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Mustafa Aydın
An astrophotographer with 8+ years of experience and an almost lifelong background in general photography.
- Astrophotographer
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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.
- Astrophotographer
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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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James Ritson
UK-based photographer and image retoucher working with Affinity Photo
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Ryan Voykin
US Based Amateur Astrophotographer and Creator of the YouTube Channel DarkRangersInc.
- Astrophotographer
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Stellar Xperiences
Three astrophotographers with 30 years’ combined experience in photography and 20 years’ experience in astronomy.
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Damian Peach
A multi-award winning astrophotographer with over 25yrs 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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Masters of PixInsight
Join MoP's team for streamlined PixInsight expertise, ensuring clarity and simplicity.
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Warren Keller
A US-based, multi-APOD imager and author with over twenty years' experience.
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Alexander Curry
European based amateur astrophotographer, Co-Founder of Telescope Live and Fellow of the Royal Astronomical Society
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Jarmo Ruuth
Amateur astrophotographer, author of AutoIntegrate and Astro Mosaic.
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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
1692707089
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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StarXterminator and Affinity Photo
StarXterminator and Affinity Photo
1644838022
In this tutorial, Nik Szymanek walks us through the StarXterminator plugin in Affinity Photo
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All Tutorials
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Removing Artefacts with Blemish Blaster in PixInsight
In this tutorial, award winning astrophotographer and Co-Founder of Masters of PixInsight, Warren Keller demonstrates how to use the Blemish Blaster script by Frank Marek (SetiAstro) to remove unwanted artefacts from astrophotography images in PixInsight. This script offers an alternative to the Clone Stamp tool, making it easy to blend away blemishes. Key points include:
Setting Up Blemish Blaster:
Learn how to access and install the script, and prepare your image by removing stars for easier artefact cleanup.
Using the Script to Remove Blemishes:
Explore techniques for selecting blemishes with circular or freehand selections and adjust settings like feathering and opacity for smooth repairs.
Understand when to use this tool versus more advanced options in Photoshop, especially for challenging artefacts.
Practical Tips and Applications:
Warren shares insights on handling various image issues and demonstrates Blemish Blaster's effectiveness in maintaining a natural look in cleaned-up images.
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Enhancing HDR with Color Corrected HDRMT
In this tutorial, Warren Keller, Co-Founder of Masters of PixInsight, demonstrates the powerful Color Corrected HDRMT script by Russell Croman of RC Astro. This script serves as a refined alternative to PixInsight’s HDRMT, preserving color saturation while enhancing detail. Key highlights include:
Understanding HDRMT and Masking:
Learn how to use an internal lightness mask and apply the HDRMT process to reveal hidden details in bright areas, such as the core of M42 (Orion Nebula).
Introducing Color Corrected HDRMT:
Explore how this script integrates the HSI color space to retain vivid color while compressing the brightness range, preventing the usual desaturation seen with traditional HDRMT.
Optimal Settings for Best Results:
Warren shares tips on finding the right opacity (or “amount”) for the script to balance detail and color, ensuring a harmonious result.
This tutorial provides a practical guide for using the Color Corrected HDRMT script to bring out both vibrant color and intricate details in your images.
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Quick Stretching with Statistical Stretch Script in PixInsight
In this tutorial, Ron Brecher, Co-Founder of Masters of PixInsight, introduces the Statistical Stretch Script as an alternative to the traditional histogram transformation in PixInsight. Designed for quick and efficient stretching of linear images, this script offers a fast preview of your results without the need for extensive adjustments. Key points covered include:
Installing the Statistical Stretch Script:
- Learn how to add the repository for the SETI Astro scripts and install the Statistical Stretch Script in PixInsight.
Using the Statistical Stretch Script:
- Explore how to apply the script with minimal settings, adjusting the target median and utilizing automatic convergence for optimal results.
- Compare the performance of Statistical Stretch with traditional histogram transformation, noting its efficiency and ease of use.
This script is ideal for astrophotographers who want a fast and effective way to preview image stretching without complex adjustments
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Exploring Pixinsight Narrowband Normalization Techniques
In this tutorial, Warren Keller, Co-Founder of Masters of PixInsight, dives into various methods of narrowband normalization to balance the brightness levels of SII, Ha and OIII in the Hubble Palette (SHO). Warren walks you through three key techniques for achieving great color balance in your narrowband images:
Method 1: Warren Keller’s Simple Approach
Learn how to unlink channels in PixInsight’s Screen Transfer Function (STF) for better color balance, reducing the dominant green hue from Hydrogen Alpha.
Method 2: Linear Fit
Explore the Linear Fit process to normalize channels, using O3 as the reference image to achieve balanced colors across S2, HA, and O3.
Method 3: Bill Blanshan’s Pixel Math Method
Discover Bill Blanshan’s pixel math expression for narrowband normalization, using offset scaling to match O3 and S2 to the HA signal.
Each method offers a different approach to achieving more balanced colors in your narrowband astrophotography, providing flexibility based on your workflow and desired outcome.