Few (any?) tutorials attempt to explain the functionality of the Image Integration process from first principles. At Adam Block Studios we do not shy away from the challenge. The goal is always to explain what the parameters of a process mean and WHY you might use one or another. With the image integration primer under your belt, the lessons below dive into an explanation of the tool that ties everything together and highlights the most important step of signal image processing. Image Integration simply averages a set of values.... but the features of Image Integration pursue the goal of outputting the best estimation of that average given the sources of noise and bias found in the data.
* These are on the Fundamental PixInsight Path
Image Integration 2023
Please watch Second Instance of PixInsight video first, under QuickStart.
|*Image Integration 2023 Part 1||12 minutes|
|*Image Integration 2023 Part 2||12 minutes|
|*Image Integration 2023 Part 3||22 minutes|
|Optimizing Rejection (avoiding artifacts)||10 minutes|
|* FastIntegration Part 1||31 minutes|
|* FastIntegration Part 2||25 minutes|
Please Watch these important related videos mentioned in the above content:
The videos below were published in 2018. Although older, many of these videos are more complete in explaining many things. In the Output Normalization section below- I discuss the dispersion of the image and how it is used to normalize images. This is synonymous with the SNR Estimate (a new name) that I describe in the videos above concerning normalization and weighting of data.