A few weeks back I wrote about my success in working with ChatGPT to manage some very complex text, making it editable, and making it possible for me to re-publish two out-of-print catalogs of matrices for Linotype and Intertype machines. It was an extraordinary success for me. You can read that post here.
Since then I have been experimenting with the AI systems offered by Google and Adobe, and hoping that these offer some assistance to me when working with high resolution images.
The first of these was a routine clean-up of a photo where a giant traffic signal was in the frame. I wanted it gone. I did it the old fashioned way first, using the lasso, content-aware fill, the clone tool, and paintbrushes. It took me the better part of an hour to complete, and it was perfectly acceptable.
When I showed this image to my friend Jason, he said, “I can do that with AI in 30 seconds.” I accepted his offer to demonstrate, and we arranged a Zoom meeting where he published his screen and demonstrated the process. In the end, including teaching time, it took about ten minutes, but the AI Erase function in the beta version of Photoshop (in partnership with Adobe Camera Raw) did the job much better than I had, and it accomplished it in a just minutes.
Following are the steps that he showed me:
Elapsed time? It took longer – much longer – to write and illustrate this post than to make the corrections on the photo. 11 minutes and 20 seconds.
What have I learned? Like Photoshop’s Content-Aware Fill tool, with which we are all familiar, it’s smart not to bite off too much in each action. It would be impossible to remove all of the elements of the traffic signals in one pass. It works better in small morsels.
Overall, the photo is much better after. The clutter of the traffic signals, the tire marks, the sign and various artifacts made the original too busy for me, and for the client.
Brian Lawler is an Emeritus Professor of Graphic Communication at California Polytechnic State University, San Luis Obispo and was a Guest Professor at Hochschule München from September, 2021 to September, 2022.
He writes about graphic arts processes and technologies for various industry publications, and on his blog, The Blognosticator.