Learning Module Category: Updates

In this lesson a brief explanation of noise reduction using NoiseXTerminator highlights a simple approach to its use. In addition an important philosophical distinction is…

This lesson demonstrates the old school method of stretching using the STF AutoStretch in combination with the HistogramTransformation process. Then the image is stretched officially…

This lesson demonstrates how to use BlurXTerminator on the (still) linear data. The “XTerminator” software is a must for courseware for my processing and instruction.…

This video demonstrates how to use SPCC-  high-precision color calibration process found only in PixInsight. Please also watch the videos below for more information- especially…

In this FastTrack Training lesson both DBE and Gradient Correction (the process) are used to remove gradients on an image with severe issues so that…

This video introduces the three main methods of gradient correction in PixInsight.

This is the discussion section for Astrometric Solutions and Image Solver. 99% of the problems with ImageSolver deal with one of three parameters. Also shown…

In this section we learn how to use ImageSolver to calculate an astrometric solution. This is a necessary step for upcoming processing including gradient correction…

This video shows how to do the final stacking of OSC images using Drizzle Integration. This is an important step to maintain optimum color fidelity…

Now we are getting there! In this episode we set up and combine the data with Image Integration. There are videos that are associated with…

The normalization of images is a necessary step to prepare the images to be stacked. It is a way to match images in terms of…

In this FastTrack Training Lesson we verify the images are aligned by blinking them. Please see  this video concerning Hot Pixels that frequently gives PixInsight…

In this FastTrack Training video we introduce and use the StarAlignment process to register/align our images. StarAlignment also produces drizzle files which will be important…