PIXINSIGHT - AS EASY AS 1-2-3: A three-part series aimed at beginners, focusing on getting a great result through easy methods. Recommended Workflow for Beginners (2026)
Click to (deactivate it) if you want to view a color-balanced preview of a raw OSC stack.
If you have just downloaded PixInsight, follow this basic, proven workflow to produce your first processed image:
STF calculates an independent "Auto Stretch" for each channel. This "unlinks" them to neutralize the background, allowing you to see the nebula or galaxy hidden behind a heavy color bias before you have even performed color calibration. 2. The LinearFit Process: Physical Linking pixinsight lerar link
Atmospheric skyglow and artificial lights often manifest as a heavy green or gradients of orange and red.
You paste the developer's URL here so PixInsight can download and update the tools automatically. Which one should you use?
Images that have already undergone accurate color calibration (e.g., SPCC). PIXINSIGHT - AS EASY AS 1-2-3: A three-part
The Screen Transfer Function (STF) provides a temporary "stretch" so you can see your data without permanently altering the underlying linear pixels. PixInsight Linked STF (Link Icon ON):
Standard processing in PixInsight follows a specific path regarding the STF link:
The "Linear Link" refers to the channel linking toggle in PixInsight’s module. It controls whether the software applies an identical stretch to the Red, Green, and Blue channels, or calculates an independent stretch for each channel based on its individual histogram. PixInsight Tutorial Part 3: Linear Image Processing This "unlinks" them to neutralize the background, allowing
The path to mastery is not about learning a single "correct" workflow, but about understanding the "why" behind each tool. Use LinearFit for its intended purpose—linear matching—and you'll unlock a new level of control over your astrophotography data.
The most common use for LinearFit is to reduce the initial color cast in an RGB image. If you have a raw RGB image with a strong red cast, you can split it into its R, G, and B channels, and then use the LinearFit process to match the red and blue channels to the green channel. This equalization often makes the background much more neutral and gives you a better starting point for further processing.
At its core, LinearFit is a tool designed to match the background and signal levels of one image (the target ) to those of another image (the reference ). This is crucial because the images you capture through a telescope—whether with a one-shot-color (OSC) camera or individual color filters on a monochrome camera—rarely come out perfectly balanced. A sensor's response to red, green, and blue light is rarely uniform, leading to strong, unappealing color casts in your initial data.
She loaded her master dark frame, her bias frames, her flats. She ran ImageCalibration , CosmeticCorrection , and StarAlignment on the sparse, lonely photons. The noise was still a tsunami.