BlurXTerminator - A Breakthrough in Deconvolution?
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.
Using Richardson-Lucy Wavelet Regularization Parameters in Pixinsight Deconvolution
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!