Once all issues are fixed, launch AutoDev again and tell it to 'redo' the stretch. If all is well, AutoDev will now create a histogram stretch that is optimised for the "real" object(s) in your cleaned-up dataset.
If your dataset is very noisy, it is possible AutoDev will optimise for the fine noise grain, mistaking it for real detail. In this case you can tell it to Ignore Fine detail.
If your object(s) reside on an otherwise uninteresting or "empty" background, you can tell AutoDev where the interesting bits of your image are by clicking & dragging a Region Of Interest ("RoI"). There is no shame in trying multiple RoIs. AutoDev will keep solving for a global strecth that best shows the detail in your RoI.
Understanding how AutoDev works is key to getting superior results with StarTools.
If even visible, don't worry about the colouring just yet - focus getting the detail out of your data first. If your image shows very bright highlights, know that you can "rescue" them later on using, for example, the HDR module.
I'm relatively new to image processing and just wanted to say how straight forward and powerful StarTools is.
Nevertheless the result can look quite pleasing when simply browsing past the image in a Facebook feed.
Signal evolution Tracking data mining plays a very important role in StarTools and understanding it is key to achieving superior results with StarTools.
Exclusive to the main screen, the buttons that activate the different modules, reside on the left hand side of the main screen.
Please refer to the video description below the video for the source data and other helpful links.
You can convert everything you see to a format you find convenient. Give it a try!