Adobe is using AI to catch Photoshopped images

Latest news

    Adobe, certainly aware of how complicit its software is in the creation of fake news images, is working on artificial intelligence that can spot the markers of phony photos. In other words, the maker of Photoshop is tapping into machine learning to find out if someone has Photoshopped an image.

    Using AI to find fake images is a way for Adobe to help “increase trust and authenticity in digital media,” the company says. That brings it in line with the likes of Facebook and Google, which have stepped up their efforts to fight fake news.

    Whenever someone alters an image, unless they are pixel perfect in their work, they always leave behind indicators that the photo is modified. Metadata and watermarks can help determine a source image, and forensics can probe factors like lighting, noise distribution and edges on the pixel level to find inconsistencies. If a color is slightly off, for instance, forensic tools can flag it. But Adobe wagers that it could employ AI to find telltale signs of manipulation faster and more reliably.

    The AI looks for three types of manipulation: cloning, splicing and removal. Cloning (or copy-move) is when objects are copied or moved within an image, such as parts of a crowd duplicated to make it seem like there are more people in a scene. Splicing is where someone smushes together aspects of two different images, like the aforementioned sharks, which were grabbed from one photo and blended into another showing flooded streets. Removal is self-explanatory.

    As is typical with machine learning methods, the Adobe team, along with University of Maryland researchers, fed the AI tens of thousands of phony images to teach it what to look for. The team trained the AI to figure out the type of manipulation used on an image and to flag the area of a photo that someone changed. The AI can do this in seconds, Adobe says.

    The AI uses a pair of techniques to hunt for artifacts. It looks for changes to the red, green and blue color values of pixels. It also examines noise, the random variations of color and brightness caused by a camera’s sensor or software manipulations. Those noise patterns are often unique to cameras or photos, so the AI can pick up on inconsistencies, especially in spliced images.

    Adobe notes these techniques are not perfect, though they “provide more possibility and more options for managing the impact of digital manipulation, and they potentially answer questions of authenticity more effectively.” The research team says it might harness the AI to examine other types of artifacts, like those caused by compression when a file is saved repeatedly.

    View the original article: https://www.engadget.com/2018/06/22/adobe-photoshop-artificial-intelligence-fake-images/

    Still, there could be a long way to go before this AI becomes a viable product. Photoshop is unquestionably a great tool for touching up images and creating memorable art, but people have used it to poison the well of legitimate, newsworthy photos, and it seems Adobe wants to offer a stronger antidote.

    In the same category are

    The Morning After: The end of the world’s cheapest car Reaper's favorite weapon starts a new series of game-themed toy guns.The first 'Overwatch' Nerf blaster arrives in 2019 Hasbro is partnering with Bli...
    The best website builder for small businesses Why you should trust us I've written a number of Wirecutter guides to software, including tax software, budget apps, and picks in our home-office guid...
    The Macallan distillery opens up for 4D virtual reality tours This won't be the first time Macallan has experimented with VR-tech. Back in 2016, it released a 360-degree video featuring its 12-year double cask l...
    Why Elon Musk isn’t the hero we imagined Here's the downside to all of that utopianism: As it stands, the Model 3 isn't really ready to go, despite currently being sold to pre-order customer...
    Dr. Julius Neubronner’s fantastic flying cameras Between 1908 and 1909, Neubronner's pigeon camera was covered in various newspapers, including the New-York Daily Tribune, The Columbian, the Los Ange...
    Magic Leap’s lackluster AR demo proves hardware is still hard The next day, Magic Leap co-founder Rony Abrovitz went on Twitter to explain that the video was a teaching tool for the creator and developer communit...

    Leave a comment

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.