Image Integration

Update 2022-03-23

There are certain elements of the instructional content below are affected by the fact the weighting and normalization methods have changed and evolved (in part because of some of my efforts). However, I have reviewed these videos and the overall structure of how image integration works is still solid and correct. Eventually I will revisit and update these to reflect the most current version of the process. It is still changing at this no sense in making another video that will be out-of-date in a few months. 


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.