Common PI Processes Explained

Course Title: PixInsight Process Playfield

TOPIC: Pixel Math

TOPIC: Image and Process Containers

Image and Process containers are grouped together in this category because they both enable batch operations. In addition History States are also covered in this section since they are a special form of a process container.

TOPIC: MLT and MMT

Pixinsight uses the mathematical tools of multiscale signal processing through wavelets in many of its processes. Few other processing programs make this such an important component of the fundamental way images are accessed and manipulated. The following lessons introduce some basic concepts about image signal processing and Fast Fourier transforms (FFTs). An understanding of how operating in the frequency domain can be a powerful way to process astronomical images leads to the concept of Wavelets. Unlike FFTs, wavelets yield frequency information at various spatial scales that map to image structures which are of great interest to an astroimager. By operating on information in the Wavelet domain, many interesting image enhancements and noise reductions can be accomplished that would otherwise by too tedious or impossible to do in any other way.  

TOPIC: HDRMT

TOPIC: Linear Fit

TOPIC: Morphological Transformation

TOPIC: SubFrameSelector (SFS)

TOPIC: Common Processes

1.  Color Saturation

2.  SCNR

3.  Noise Generator