Tau Canis Majoris Region WORKFLOW

In this final section we look at what happens when stars are de-emphasized. 

Work takes place to bring out the best of the detected nebulosity while minimizing other distracting artifacts.

The continued effort to create an optimal blend of starless data with the original version. 

Shown here is a technique championed by Adam Block through the years. 

PCC is used to color calibrate the image in the standard way.

Continuing from the previous section the results of the gradient equalized images are integrated and DBE is applied to the RGB image. 

In this video we look at the results of WBPP and highlight a new script called Normalize Scale Gradients which looks to be an excellent tool likened to Local Normalization. 

This is the first official workflow video to take advantage of WBPP 2.1!

We begin by looking at the data set we are going to work on (and throw out the worst frames immediately).