Goodbye intruders in the photos! But be careful: the photo editing can reserve bad surprises

Goodbye intruders in the photos! But be careful: the photo editing can reserve bad surprises

By Dr. Kyle Muller

“Clean Up” is a photo editing function that through the IA removes the intruders from your shots, but the images can also be manipulated to deceive.

It will no longer be necessary to be Photoshop experts to remove people against the background of the photos: Apple has launched a new function called “Clean Up”, integrated into the photo app (for some updated models). With a few touches it is possible to remove unwanted elements from an image: a passerby, a bottle forgotten on the lawn, a road sign. The system analyzes the scene thanks to generative artificial intelligencesuggests what could have been covered in the frame and then automatically completes the surrounding background. An operation that, until recently, required advanced software and a certain familiarity with the photo editing, is now instead within the reach of anyone.

Instant modification. It is not the first time that such tools arrive on smartphones, but the real turning point is native integration: No apps to downloadno additional purchase. A few touches are enough in the gallery to edit a photo, and the result can be surprisingly realistic. Apple, however, is not alone.

Also Google (Android operating system), with his Magic Editor Available on the 8 and 8 Pro pixels (and arriving on other models), it allows you to move objects, change its color, change the lighting or replace entire backgrounds.

Samsung, on the other hand, offers the function “Object Eraser” Directly in the tunnel of many high -end Galaxy, to eliminate unwanted elements in a simple way. Then there are third -party apps such as Snapseed or Photoshop Express, albeit often less effective. The editing assisted by the AI โ€‹โ€‹is becoming a widespread comfort, and this asks new questions …

False tests. If it is true that the image has always been manipulated, the ease of use of these tools is changing our world: Modify a photo, in fact, will soon take less time than to write a message. This also facilitates deceptive operations: you can delete a stain from a dress, remove a scratch from a car, even erase a person from a scene. Some use these tools for Remove Protective Watermark (a sort of digital “filigree”, alter tests or Create fake receipts to be presented as a refund. But if artificial intelligence is able to generate plausible images, we must ask ourselves how much we can still trust what we see.

Watch out for detail. So if you delete a tourist from a photo to get a more “clean” shot may seem harmless, the main question becomes: Where does the aesthetic retouch ends and where does manipulation start? And, above all, how to defend themselves from the scams that could derive from it? To understand if an image has been changed, you can Look for inconsistent details: strange shadows, blurred contours, involuntary duplications.

Asking more versions of the same scene, from different angles, can help verify their authenticity, while in suspicious cases – such as receipts or documents – a simple online research can detect deception. And even if In the future, automatic verification systems will certainly be availablea little common sense remains the first tool to defend yourself.

Kyle Muller
About the author
Dr. Kyle Muller
Dr. Kyle Mueller is a Research Analyst at the Harris County Juvenile Probation Department in Houston, Texas. He earned his Ph.D. in Criminal Justice from Texas State University in 2019, where his dissertation was supervised by Dr. Scott Bowman. Dr. Mueller's research focuses on juvenile justice policies and evidence-based interventions aimed at reducing recidivism among youth offenders. His work has been instrumental in shaping data-driven strategies within the juvenile justice system, emphasizing rehabilitation and community engagement.
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