Over the course of reading and viewing tutorials on using PI, as well as other processing software, I repeatedly see the term linear data. What I don't see or have is a firm grip on the definition. I've fallen into a fairly routine imaging process using PI where the data is calibrated and saved separately from the raw data. Then I star align all the RGB images, save again as aligned, combine the data using image integration creating masters. Save the master frames and then combine the RGB data. The process is similar with the luminance data. After the masters are created I'll use the screen transfer function to see if it needs cropping using the dynamic crop tool, use the DBE tool to correct any background gradients the image may have and save again. Now I'll use the histogram tool to get the hidden data in the image. At this point if I'm working on a galaxy image I'll usually make a star mask using the star mask tool, apply the mask, invert the mask, and then use HDRWavelets tool to enhance the galaxy details. When I'm happy with that I'll use the deconvolution tool and usually do 5 iteration of regularized Lucy Richardson deconvolution. Remove the mask and save the resulting image. Actually I usually save the image after each tool is used in case I later decide I don't like the effect.
All this leads up to this basic question. When did I no longer have linear data? What processes should be used on linear data? As an aside, I noticed that masks that Harry created in his tutorials don't have the red color mine do. Is there a reason for this?
As Always, Thanks