In this tutorial, Warren Keller, Co-Founder of Masters of PixInsight, dives into various methods of narrowband normalization to balance the brightness levels of SII, Ha and OIII in the Hubble Palette (SHO). Warren walks you through three key techniques for achieving great color balance in your narrowband images:
Method 1: Warren Keller’s Simple Approach
Learn how to unlink channels in PixInsight’s Screen Transfer Function (STF) for better color balance, reducing the dominant green hue from Hydrogen Alpha.
Method 2: Linear Fit
Explore the Linear Fit process to normalize channels, using O3 as the reference image to achieve balanced colors across S2, HA, and O3.
Method 3: Bill Blanshan’s Pixel Math Method
Discover Bill Blanshan’s pixel math expression for narrowband normalization, using offset scaling to match O3 and S2 to the HA signal.
Each method offers a different approach to achieving more balanced colors in your narrowband astrophotography, providing flexibility based on your workflow and desired outcome.