AnotherAstroChannelHere is a quick video in follow up to a video my buddy Luke posted using Pixinsight Pixel Math to reduce star sizes using math I created. In this video, I wanted to show people that you can use my Method-1 math in either Photoshop or Affinity Photo to accomplish the same thing.
Please watch the original Star Reduction video by Lukomatico featuring my star reduction formulas for Pixinsight:
Best Star Reduction for PhotoShop or Affinity PhotoAnotherAstroChannel2022-07-22 | Here is a quick video in follow up to a video my buddy Luke posted using Pixinsight Pixel Math to reduce star sizes using math I created. In this video, I wanted to show people that you can use my Method-1 math in either Photoshop or Affinity Photo to accomplish the same thing.
Please watch the original Star Reduction video by Lukomatico featuring my star reduction formulas for Pixinsight:
youtube.com/watch?v=rM3-yAcAbZcSolar processing made easy using the Solar Toolbox Process for PixinsightAnotherAstroChannel2024-02-28 | We are pleased to release the Solar Toolbox Process for the Pixinsight Software.
Solar Toolbox Pixinsight Repository Link: (copy address link as shown in video) For Pixinsight version 1.8.9-2 - build 1597 or higher! cosmicphotons.com/pi-modules/solartoolbox
Note: You might run into an issue with installing processes/scripts in the latest versions of Pixinsight where the script or processing icons don’t show up in the menu after installation. To fix this, go to: Resources-Updates-Reset Updates, then restart Pixinsight, then click on "Check for Updates" to install
I love to image the sun and over the past few years I have been working on better ways to help process solar image data using pixelmath, but I wanted to take things a bit further. I reached out to my good friend Mike Cranfield and he helped me put together this script that allows users to process solar image data in real-time. This Process allows you to colorize your monochrome data, gives you the ability to increase contrast and sharpness in ways never been done before, plus we offer a proprietary way to stretch data to help boost faint or hidden prominences while keeping the solar data all in phase. Many thanks to Mike for once again helping me on this project and I also want to thank YOU the viewers and the many people out there who have supported us on our BuyMeACoffee campaign; we could not have done this without you! I hope you enjoy using this Version-1 script and we hope to make things even better in time to come. THANK YOU!!!
Note: You might run into an issue with installing scripts in the latest versions of Pixinsight where the script or processing icons dont show up in the menu after installation. To fix this, go to: Resources-Updates-Reset Updates .
We are proud to release the Narrowband Normalization (NBN) Process for Pixinsight Software. Mike Cranfield and I decided to take things a step further by moving away from pixelmath scripts and provide you with an actual Pixinsight Process with graphical interface so you can visualize the Normalization Process in real-time.
The normalization process is an automated curve stretch we perform using math on the OIII and/or SII data channels to boost the intensity of these channels to that of the HA channel. This boost attempt will try to equalize the data to help better show off the gases located within the nebula. The NBN process works on both linear and non-linear data (starless); however, there is benefit to NBN processing on non-linear data as we have introduced a Lightness feature which will allow you to use different lightness modes to help show off your image from many different perspectives, i.e. You can select Ha, or SII for example. Lightness mode does not work on linear data! We also offer multiple Pallet modes depending on the data you are trying to process; for example, if you have an image from OSC camera which was taken with a dual narrowband filter, you will want to select the HOO pallet. If you are processing mono data and have an SHO, HOO, HSO image, you need to select the appropriate pallet for that data, i.e., SHO for SHO data. These pallet modes DO NOT create an SHO image from HOO data, so make sure you have your data compiled before running NBN and run the appreciate NBN pallet. NBN will make an attempt to equalize these channels while maintaining background neutral, but we do give you other options to increase/decrease the channel boost so you have more control of the image.
Color Mask PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharingStar Reduction now in a Pixinsight Script!!AnotherAstroChannel2023-07-15 | This video is about our new Star Reduction Script for Pixinsight Software. Mike Cranfield and I decided to give you a graphical interface so you can visualize the star reduction before creating a new image. The math used is based on my previous pixelmath process but has been updated with new options, such as using a small star mask to help protect smaller stars from being reduced, and the ability to export a reduced stars only image using convention unscreening or our new reverse stretch unscreening process. Many thanks to Mike for helping me turn my pixelmath projects into actual scripts! Below is the download links for the Pixinsight repository:
Color Mask PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharingScreen Stars Script - The best way to remove & add stars in Pixinsight!AnotherAstroChannel2023-07-10 | This script was designed to help you remove and add stars from your DSO image using Pixinsight software using your choice of new and existing screening/unscreening math methods. This script works on both linear and non-linear data. We implemented a new unscreening/screening method which uses a reverse and forward stretch, mainly used for non-linear data, which basically takes the data and returns it to a linear state, then we unscreen or screen, then we return back to non-linear state. By doing so, we are creating more separation between shadows and highlights thus stars located in areas of heavy nebulosity will retain more color and luminosity especially when transferred to a new "color corrected" starless image i.e. a Narrowband Normalization image. Many thanks to Mike Cranfield for working with me on this! Please stay tuned to this channel, more scripts to come!!
Color Mask PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2New CloseView Script for Pixinsight softwareAnotherAstroChannel2023-06-14 | This is a video on a new script call "CloseView" for the Pixinsight software to help automated a process container workflow by removing images you no longer need. Below is the repository link to this new script. Many thanks to Mike Cranfield for creating this script for me and I look forward to other scripts coming soon :-)
Color Masks PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharingNormalized Narrowband Version-5 for Pixinsight PixelmathAnotherAstroChannel2023-03-12 | Narrowband Normalization V5 using Pixnsight Pixelmath. This is an updated pixelmath process I came up with to help you equalize your narrowband data with a simple drag and drop operation for SHO, HSO and HOO images. Many updates are included in this math script when compared to version 4 which includes 2 different normalization modes, 2 blending modes, luminance control and also highlight recovery.
I do apologize for the length of this video but thought it was important to go through all the settings and also the methods to normalization. I welcome your comments so please don’t hold back. Thanks!!!
Note: This download link will stay updated, so for updates, please recheck this video description for future updates.
Color Masks PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharingAdd Ha to an RGB Image using PixelmathAnotherAstroChannel2022-12-09 | In this video I am providing two pixelmath scripts that allow you to add Ha to an RGB image. Below is the download link. One thing I want to add; when you process your RGB image, you may not want to add saturation before adding Ha. You may want to add saturation until after you add the Ha data, this way both the RGB and HA data can be evenly saturated.
Note: This download link will stay updated, so for updates, please recheck this video description for future updates.
As a bonus, I am also providing a download link to another pixelmath process called "Add L to an RGB image" This process works similar to the Pixinsight LRGB combination.
Narrowband Normalization is a pixelmath process I came up with to help you equalize your narrowband data with a simple drag and drop operation for both SHO and HOO images. I feel the best results do come from non-linear data as I illustrated in this video but feel free to test this on your end. For the HOO math, I am using a method that Luke Newbould came up with that he uses for his OSC image processing to help make your OIII signal pop thus making your image look like a “Hubble Pallet” style image. Thanks Luke, for testing this math and giving it your approval! Below are the download links to all the pixelmaths I used in this video. I also want to put another special thanks out there to James Lamb for coming up with the Modified SCNR math and allowing me to put out my version of it out there for you all to use. I welcome your comments so please don’t hold back. Thanks!!!
Color Masks PixelMath: drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharingPixinsight - Stretching using PixelmathAnotherAstroChannel2022-10-03 | Update-Version 5! - I have updated the stretching maths for both Linked and Unlinked in which I have added a function to modify the stretch curve shape, so a curve value of 1 is the same as a STF midtone stretch curve (normal stretch). If you increase the value to say 1.05, you will get more of an "arcsin" style curve which will help prevent blowing out the nightlights. I also added shadow clip protection. Last, I removed the GHS pixelmath script because it was difficult to use, and the actual GHS process within Pixinsight is so much better.
Note: The PixelMath script within this download link will be updated if changes are needed.
Enjoy!!!RGB Stars to Narrowband Image Transfer in PixinsightAnotherAstroChannel2022-09-15 | I finally got around to finishing my RGB stars to Narrowband image transfer pixelmath script. I have been workong on this for over a year now so now its time to get it out there. You can download it from the below link. Enjoy and please feel free to comment.
Notes: If your "Blend" data is halo dominate which is mainly caused by method-4, you can change the blend modes to your liking
P.S. One more thing I want to address that I forgot to cover in my video. You dont have to only use a narrowband SHO image for the transfer, meaning, if you have a OSC image, you can color correct that image for star color, then create two copies, one for a basic starless of the main image, the second can be color corrected starless to show of your dual narrowband data. Then use my math to bring back the stars but more naturaly. Hope that makes sense :-)
**Update** The download link will be updated with revisions, therefore the math in the video will chanage accordingly, but the concept of how to run the pixelmath script remainsComet C/2017 K2 Panstarrs & TimelapseAnotherAstroChannel2022-07-25 | I photographed Comet C/2017 K2 Panstarrs a few weeks ago and also created a timelapse showing the comets movement though our night sky. Anyhow, I just wanted to share this, I hope you enjoy :-)Lunar Eclipse Timelapse - May 15, 2022AnotherAstroChannel2022-05-25 | This is my timelapse of the May 15th, 2022 lunar eclipse. I hope you enjoy the video!
Regards, Bill BlanshanM81 & M82 Bodes & Cigar Galaxies - shot from the US and UKAnotherAstroChannel2022-01-28 | Thank you Luke for allowing me to do this colaboration with you. I hope everyone enjoys watching the video!
Please check out Luke's YouTube Channel: youtube.com/c/lukomaticoLunar Eclipse Timelapse - Nov 19th 2021AnotherAstroChannel2021-11-24 | Not my best timelapse but at least I got most of the eclipse before passing out, lol. I shot this with my Radian Raptor 61 telescope and ZWO ASI 224mc camera. Funny story, after selling all my OSC cameras and switching over to mono only, I completely forgot I needed a color camera for things like this. Luckily, I still had an old planetary camera which I used for this timelapse. Not the best resolution but at least I captured it :-)Jupiter TimeLapse 9-23-2021AnotherAstroChannel2021-10-01 | This is a timelapse of Jupiter I shot on September 23, 2021.
Equipment used: Camera: ZWO ASI 174mm Telescope: Edge11 HD Barlow: Baader FFC @x3 Filters: ZWO 5-position filter wheel with ZWO RGB filters Mount: Skywatcher EQ8-Rh
Exposures: 30 x 2000 images for each RGB filter, with a 2min delay Stacking software: AutoStakkkert, best 15% used (300 images per frame ) other software: WinJUPOS, Pixinsight, After Effects