I haven't gotten around to making a module on digital imaging, but when I do, I'll definitely be covering the issue of fake photos and how to spot them. For now, here's a link with some tips.
Tags: Evidence, Fake Photos, PhotoshopMIT is working on software that analyzes the surfaces in photos to see if the light patterns all match in order to detect fakes.
Many fraudulent images are created by combining parts of two or more photographs into a single image. When the parts are combined, the combination can sometimes be spotted by variations in the lighting conditions within the image. An observant person might notice such variations, Johnson says; however, "people are pretty insensitive to lighting."Another technique is to check the grain of the photo for irregularities. When an object is placed within a photo, the new object will have differing grain from the original (though there are ways to reduce and eliminate this).
If you're wondering why this matters, check out these examples of how fake photos can be drastically harmful:
If you want to learn more about my professional background, click here to learn more.
Check out one of my guides/tutorials:
| Avoid fake and nasty websites with my search engine trick. |
| Watch out for online addiction. Getting lost in fun online activities can be just as addiction as any drug. |
| So you want to write, publish, or share information online? Be careful. Things you say may be lost or forgotten, but things put on the Internet never are. |
| Don't fall for the well-known (or the new scams either) bad guys use to trick you into give away data or money. |
| Want to make an account with some online service? Read this first! |
| The newest, biggest risk online? Account hijacking! Don't become a victim by allowing your account to be taken over and learn to recognize when someone else has been. |
| Be sure transmission security is active before entering a name, password, credit card number, or other important information online. |
... or check out any of my other guides and tutorials by clicking here!
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