Software Tool to Detect Fake Images
During this time of unreliable media, several fake images crop up in the internet world. You’re not sure, what to believe and what not to believe in! You can’t believe the audio, images or video that come up online. To enhance the solutions for this problem, LifeHacker has come up on how to detect photoshopped images. Pretty Well, if you completed reading the post. But if you’re a lazy user like me needing a software to find fake images or photos, there is a software tool to do this.
Image analysis software is a very expensive software which detects unrealistic characteristics of an image. But LifeHacker suggest a software tool for fake detection with an online tool. Image Error Level Analysis is a tool that creates a heat map-like image out of a JPEG file and can show the highest points of compression. Too much Photoshopped images may contain JPEG parts that have been saved several number of times. This little online tool will detect those parts for you and highlight them.
The top picture shows the images in normal mode. The left face is the original photo and the right side is the photoshopped image. As you can see the image below, the heat-map varies for the original and the fake photo. The parts that are compressed more do not tend to be dark, like the nose!
To use this online tool, you need to submit an image url for error level analysis. Only JPEG files are allowed. After submitting the url, you will see the heat-map, just like the one in the second image.
Error level analysis is a quick and easy image forensics method, allowing one to determine if an image has been modified by programs such as Adobe Photoshop.It works by resaving an image at a known quality, and comparing that to the original image. As a jpeg image is resaved over and over again, its image quality decreases. When we resave an image and compare it to the original, we can guess just how many times the image has been resaved. If an image has not been manipulated, all parts of the image should have been saved an equal amount of times. If parts of the image are from different source files, they may have been saved a number of different times, and thus they will stand out as a different colour in the ELA test.
It is worth noting that edges and areas red in colour are often depicted as brighter in the ELA tests. This due to the way the photos are saved by various programs. It is not proof that image was manipulated.
Note: If you are unsure how to interpret the results, please do not claim the results of this tool as proof of anything.
Thanks for reading!
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