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Detail Enhancement in Photoshop: Sharpening Techniques
Detail Enhancement in Photoshop: Sharpening Techniques
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New Tutorials
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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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Masters of PixInsight
Join MoP's team for streamlined PixInsight expertise, ensuring clarity and simplicity.
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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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Warren Keller
A US-based, multi-APOD imager and author with over twenty years' experience.
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Jarmo Ruuth
Amateur astrophotographer, author of AutoIntegrate and Astro Mosaic.
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Mustafa Aydın
An astrophotographer with 8+ years of experience and an almost lifelong background in general photography.
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James Ritson
UK-based photographer and image retoucher working with Affinity Photo
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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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Bernard Miller
A US-based, multi-APOD astrophotographer with over twelve years of experience in deep sky imaging
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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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Adam Block
FastTrack your understanding of the HOW and WHY of astronomical image processing with renowned Adam Block.
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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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Ryan Voykin
US Based Amateur Astrophotographer and Creator of the YouTube Channel DarkRangersInc.
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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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[Free] Maximizing Image Quality: File Formats for Astrophotography
In this free tutorial, Alexander Curry, Co-Founder of Telescope Live, explores the importance of choosing the right file formats for saving and sharing astrophotography images. He discusses the differences between common formats like FITS, TIFF, PNG, and JPEG, and how they impact image quality and usability. Key points covered include:
XISF to TIFF Conversion:
-Learn how to convert XSIF files to TIFF using PixInsight’s batch processing tool, preserving resolution and detail across software.
TIFF for Post-Processing:
-Understand why TIFF is the go-to format for retaining high-quality data during post-processing and adjustments.
PNG vs JPEG for Sharing:
-Compare PNG and JPEG formats, noting the loss of detail with JPEG due to compression, and how each format is suited for different platforms, such as social media or personal sharing.
This guide ensures you make the most of your astrophotography data, from editing to sharing your final image.
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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.
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Isolating Colors in PixInsight with the ColorMask Process
In this tutorial, Ron Brecher, Co-Founder of Masters of PixInsight, introduces the powerful ColorMask process in PixInsight. This process, though not included in the standard PixInsight installation, allows for precise control over color adjustments in your astronomical images. Ron walks you through the following steps:
Installing the ColorMask Process:
-Learn how to add the necessary repository and install the ColorMask process from the PixInsight forum.
Using ColorMask to Target Specific Hues:
-Explore multiple methods to select hues, including clicking on the color wheel, manually entering values, or selecting directly from the image.
-Understand how to adjust hue range, chrominance, and lightness to refine your color mask.
Applying and Modifying the Mask:
-Apply the mask to your image and make adjustments using tools like curves to enhance specific colors.
-Learn how to control mask strength and blur to achieve the desired effect.
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Comprehensive Manual Pre-Processing in SIRIL
In this detailed tutorial series, Telescope Live Co-Founder Alexander Curry walks you through the process of manually pre-processing astronomical data in SIRIL. Alex provides an in-depth guide for pre-processing and stacking data using manual techniques, perfect for situations where standard scripts may not apply. This tutorial looks at a narrowband dataset, however this workflow can be applied to any dataset.
The tutorial is divided into three focused parts:
Part 1: Manual Pre-Processing Setup
-Learn how to set up symbolic links for your data sequences.
-Start by organizing and preparing H-alpha and OIII data for manual processing.
Part 2: Calibration, Registration, and Data Analysis
-Dive into manual calibration and global star alignment for accurate data registration.
-Analyze your dataset for any frames that may need exclusion based on full-width at half-maximum (FWHM) readings.
Part 3: Stacking, Compositing, and Final Alignment
-Perform manual stacking using advanced algorithms.
-Create an RGB composite and ensure proper RGB channel alignment for your final image.
Alex’s clear and methodical approach ensures that you can confidently apply these techniques to produce stunning astrophotography results, even when standard workflows fall short.