Narrowband Normalization Process in Pixinsight !!

In this video, I will show you how to use the Narrowband Normalization Process in Pixinsight. This process is an automated curve stretch that helps to equalize the brightness of the OIII and SII channels in narrowband images, making it easier to see the fainter nebulae.
The Narrowband Normalization Process works on both linear and non-linear data. However, there is benefit to using it on non-linear data, as it offers a Lightness mode that allows you to view the image from different perspectives.
The process also offers multiple Pallet modes, depending on the data you are trying to process. For example, if you have an image from an OSC camera that 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, or HSO image, you need to select the appropriate pallet for that data.
To use the Narrowband Normalization Process, simply follow these steps:
Install the process from the Pixinsight repository.
Open your narrowband image in Pixinsight.
Go to Processes - All Processes and select Narrowband Normalization.
Select the appropriate Pallet mode.
Adjust the settings as desired.
Click Process.
The Narrowband Normalization Process is a powerful tool that can help you to improve the quality of your narrowband images. I hope this video has helped you to learn how to use it.
Here are some additional tips for using the Narrowband Normalization Process:
The amount of normalization that is applied will depend on the individual image. You may need to experiment with the settings to find what works best for you.
The Lightness mode can be a great way to see the image from different perspectives. For example, you can select Ha to see the hydrogen emission, or SII to see the sulfur emission.
The Narrowband Normalization Process can also be used to improve the appearance of starless images.
Original video from ‪@anotherastrochannel2173‬
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Narrowband Normalization Process
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[@ritacastil]

Hi. A quick suggestion: take care of the sound quality, it is very tiresome to hear what sounds like a fan or rain in the background. The video content deserves it! Keep on doing these videos!

[@tarunpulikanti]

Thank you for the suggestion !! I will try doing better with audio as i lack the proper equipment to get these made !!

[@davidstearn1342]

The workflow is not quite correct. Using SPCC and GHS which is a linked stretch will mess up the colors prior to Narrowband Normalization. Bill Blanshan told me that all is needed is Background Neutralization and after running BlurXT and Noise XT use Bills Unlinked stretch script prior to NBN.

[@tarunpulikanti]

it could be done either ways !! I tried doing the way you suggested and i have the same output !! Thank you !!

[@davidstearn1342]

That is incorrect. If you run Background N and Color Calibration then you can use GHS. On your video when you brought up Narrowband Normalization I could tell immediately that the colors were off. For a Dual Narrowband filter the pallet should be HOO and the lightness should be HA. But since you ran SPCC and used a linked stretch the colors were not correct to begin with.