As another follow-up post to my “Using Deconvolution in Pixinsight” series, I have written a new post exploring the use of the Richardson-Lucy Wavelet Regularization parameters. Proper use of these parameters will protect the algorithm from image noise, preventing the inadvertent enhancement of noise by deconvolution. After learning these “secrets”, you will never have to use an Object Mask again to protect the low signal areas in an image, and you will have a more consistent application of deconvolution to all non-noise image structures!
As a follow on to my “Using Deconvolution in Pixinsight” series, I have written a new post exploring the use of the EZ-Decon Script. This powerful tool offers an alternative way to apply deconvolution to your images - a way that is easy and convenient compared to the traditional method. In this post I will cover what is different in EZ-Decon’s approach and how to use it effectively to enhance your images!
Deconvolution in Pixinsight is a very powerful tool for restoring lost sharpness in a system - but it is not the easiest tool to learn to use. When I started, I hard time coming up to speed - but with time, I finally learned to use the tool to use it to improve my images. In this seven-post series, I share what works for me, and get into the background of the problem domain so you can understand not just WHAT and the HOWs but also the WHYs as well. This is Part 1- An Introduction.
“Deconvolution in Pixinsight - Part 2 - An overview of PFS and Deconvolution” is a deeper dive that coves the concepts of Airy Disks and Point Spread Functions, Estimating PFS model for an image, and the first overview of Deconvolution and what it does. This is Part 2 of a 7-Part Series.
“Using Deconvolution in Pixinsight - Part 3 - Workflow Considerations” explores how Deconvolution fits into your workflow, what images should have Deconvolution Applied to, and how the workflow changes based on image type. This is part 3 of 7-part series.
“Using Deconvolution in Pixinsight - part 4 - Preparing for Deconvolution” covers the steps you must take in preparing to use Deconvolution. How to create masks and support images, image previews fields, and setting up the Deconvolution Tool panel for the initial testing is all covered. This is part 4 of a 7-part series.
“Using Deconvolution in Pixinsight - Part 5- Example - The Draco Triplet” demonstrates the application of Deconvolution for the first example image, consisting of The Draco Triplet taken on my Williams Optics 132mm APO. All steps are shown. This is part 5 of a 7-part series.
“Using Deconvolution in Pixinsight - Part 6- Example - Messier 63” demonstrates the application of Deconvolution for the second example image, consisting of Messier 63 - The Sunflower Galaxy. This was taken on my Astro-Physics 130mm APO. All steps are shown. This is part 6 of a 7-part series.
“Using Deconvolution in Pixinsight - Part 7 - Example - Messier 31” demonstrates the application of Deconvolution for the third and last example image, consisting of Andromeda Galaxy taken on my Askar FRA400 scope. All steps are shown. This is part 7 of a 7-part series.
As you assemble and evolve your telescope platform, you can expect to have to deal with routing cables to feed power and USB connection. It’s easy to end up with a rat’s nest of cabling that can have a negative impact on your imaging. With this post, I share how I deal with this problem. Hopefully, it will give you some ideas as your wrestle with your cabling challenges.
Astrophotography Rigs typically have a lot of accessory equipment mounted to them. How do you mount them? In this post, I share my secret method of attaching Telescope Accessories!
There are many barriers to overcome in astrophotography. This is a post in a series addressing how I overcame those barriers. For this article, I discuss doing flat calibration frames. More specifically, how do you get a good light source that is appropriate, reliable, and repeatable? This shows how a $20 LED Tracing Panel could be used for this purpose.
There are many barriers to overcome in astrophotography. This is a post in a series addressing how I overcame those barriers. For this article, I discuss the challenges I had with Polar Alignment and how I resolved that issue by using Polar Alignment Cameras.
After writing about how to use deconvolution in 7-part series with an additional two follow on articles, I am writing my 10th article o and probably my last on Deconvolution.
discuss RC Astro’s new BlurXTerminator is a smart AI-based tool that delivers a breakthrough capability that suddenly makes deconvolution accessible to all, is easy to use, and provides a result that is superior to the Traditional Deconvolution tool in Pixinsight.
This article covers what BlurXTerminator is, how it is used, examples of its results, workflow considerations, and a high-level review of the Neural Network technology it is built on.
Further - it discusses some of the pushback that BlurXTerminator has received.