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How math can tell you if a picture is doctored

This is a picture of a cat, obviously, but do you notice something strange about it? Sure looks like a cat, but let's have a closer look - zoom in!

Tibi PuiubyTibi Puiu
February 16, 2015
in Science
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cat1

This is a picture of a cat, obviously, but do you notice something strange about it? Sure looks like a cat, but let’s have a closer look – zoom in!

cat eye

I mean, really zooooom in.

doctored image

Once you zoom enough any picture, you’ll end up with a regular rectangular mesh of cells called pixels, each pixel containing a colour value. The image below shows how each pixel looks like when encoded by colour.

code bitmap

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Now we’re talking business! Ann Dooms’ business that is. Dooms is a mathematician, but also a forensic specialist. She uses her mathematical skills to spot doctored photographs and videos by analyzing the mathematical patterns each of these digital mediums share or, on the contrary, lack. Algorithms can be used to find “patterns, irregularities, additions, and changes,” she says. Let’s take these two side-by-side photos below, can you spot the difference? (hint: don’t try too hard).

trees

 

Again, in colour code.

matrices

As you can see, some numbers are off which means the two photos are distinct.

matrix images

Using this sort of simple method, one can easily determine whether a photo or video was doctored, greatly aiding in criminal investigations such as cases of fraud. Fake paintings are also spotted this way. And that’s not all – feel welcome to Dooms’ TED Talk below to find out much more about her inspiring work.

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Tibi Puiu

Tibi Puiu

Tibi is a science journalist and co-founder of ZME Science. He writes mainly about emerging tech, physics, climate, and space. In his spare time, Tibi likes to make weird music on his computer and groom felines. He has a B.Sc in mechanical engineering and an M.Sc in renewable energy systems.

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