Update - For Pixinsight version 1.8.9-1 or higher!
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.
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Many thanks for all that have supported us!!!! :-)
Narrowband Normalization Process (copy address link as shown in video)
https://www.cosmicphotons.com/pi-modules/narrowbandnormalization/
Other videos and Pixelmath scripts.....
Star Reduction Script:
https://youtu.be/ofGt0Fk51h4
Pixinsight Repository link: https://www.cosmicphotons.com/pi-scripts/starreduction/
Screen Stars Script:
https://youtu.be/cbjzW6AYL5c
Pixinsight Repository link: https://www.cosmicphotons.com/pi-scripts/screenstars/
CloseView Script:
https://youtu.be/5ClSR73_gb4
https://www.cosmicphotons.com/pi-scripts/closeview/
Stretching PixelMath:
https://youtu.be/em9IQzbkBuU
https://drive.google.com/drive/folders/1ZuE8VKlrryofFAGdx-hIH8drrdNZxVCN?usp=sharing
Narrowband Normalization PixelMath:
https://youtu.be/_6in5Kvo95s
https://drive.google.com/drive/folders/1dSZzimxsnAPpqTkEJO5pzt1gqSahMUyO?usp=sharing
Add Ha to an RGB image PixelMath:
https://youtu.be/rT7CPIzsyY0
https://drive.google.com/drive/folders/1qYLK86-HzS6i5PTaugOZpNJfymXaW_-2?usp=share_link
Star Reduction PixelMath:
https://drive.google.com/drive/folders/1qjJFliMgSoPUe3zaPG5NeXyIDNR_RQ4Z?usp=sharing
RGB Stars to Narrowband Transfer PixelMath:
https://youtu.be/nqnONWVwf-A
https://drive.google.com/drive/folders/15zRH1p2Xn2ReUJj7bNVCFGQ1yA_JuNnJ?usp=sharing
Add L to an RGB image PixelMath:
https://drive.google.com/drive/folders/1HbuH0_WhWZBW3VX1f0MaJNEv-RSQR2Ih?usp=share_link
Modified SCNR PixelMath:
https://drive.google.com/drive/folders/1aoD8NGH6Tt6m0c2hNyPVQ5j-bONpXlUI?usp=sharing
Color Mask PixelMath:
https://drive.google.com/drive/folders/1HOU2zqRfqArDtKPQiq67_q-JcZWnq2lK?usp=sharing