I should have been more nuanced I suppose. There is a time and place for these kinds of image "enhancements", they just don't belong in ESRI's scientific GIS platform. Folks don't view these images for pleasure (or at least very few do), they are typically used to analyze the satellite data or georeference other imagery.
Deep learning image enhancement is totally appropriate in your smartphone, as there the goal is not accuracy but perceived quality. Doing this to satellite imagery where the primary consumer cares about accuracy is what I call "reckless"
just wait for the 'real time enhancement' of drone cameras for critical security applications. Snark aside, it is very reasonable and competitive to want to do color correction, focus and shadow darkness on-the-fly; secondly raw sensing data is very large, but on-the-fly capture is bandwidth-sensitive, so very clever compression and band reduction is also desirable and indeed competitive.
What happens if there are multi-million dollar economic outcomes depending on the details of the remote sensing content, as in disaster response.
Deep learning image enhancement is totally appropriate in your smartphone, as there the goal is not accuracy but perceived quality. Doing this to satellite imagery where the primary consumer cares about accuracy is what I call "reckless"