Photo Analysis (ELA Value) Training – How Do I Find Out If The Picture Is Fake or Real?

Today, digital fraud has increased in proportion to the increase in the digital world in our lives. In this world of technology, fraudsters; both in digital evidence to distort scientific facts, intellectuals, artists, politicians, etc. they aim to make psychological guidance on societies by changing their pictures. Because we know that today, wars are mostly not with weapons, but with psychological warfare methods, as in the past, and because we know that insi-devils who use this job for their own benefit, for the evil of humanity, mostly do it with digital fraud; With this training, it is obvious how important it is for volunteers of truth (rights) to reach the truth, reveal it, and prevent fraud, lies, slander, chaos and evil from being victorious.


First of all, since the subject of digital crimes is a new field, crimes with clear boundaries are not clear in the United States. In Turkey, since even the existence of the justice mechanism is not clear, it is almost an educational site that explains the subject properly and clarifies everything, let alone a study in this field. It doesn’t even have a video.

This need for us actually arose while we were preparing the WORLD’S BLACK BOX Documentary series. While preparing this documentary series in order to separate the lies from the truth and show people the big picture that is compatible with each other, we have trained ourselves in this field to understand whether many of the images we come across are fake or real, and now we say why only we should analyze the truth. There are many people who are right-friendly and truth-lovers, and volunteers on this subject should learn and research this subject themselves, so they can distinguish the truth from the lie. If you want to learn the authenticity of a picture for your own benefit, you can of course benefit from our article. Maybe someone set you up with photoshop and you want to prove it…

First of all, people who understand this training from photoshop will understand it much easier, but do not be afraid, if you do not know photoshop, you will understand it because we explain its logic.

This is the free program we use to analyze images;

https://29a.ch/photo-forensics/#forensic-magnifier

Actually, http://fotoforensics.com/ site is based on the same subject that we will explain in this article, ELA (error level analysis), but since the first site (29a.ch-forensically beta) program is a more detailed program, we will continue through this program.

 

The parts analyzed in the picture are as follows.

>The “clone detection” section in the program shows the clones made with Photoshop. The red stripes show where it was taken, where it was taken and pasted.

>”ELA error level analysis” shows cut-paste operations. If it is taken from another picture and pasted on that picture, it will usually be glossy white. If the edges of the glued or played part are heterogeneous, it is understood that way.

>”Luminance gradient” shows the parts where the light hits and reflects. in this way; Since the angle of receiving and reflecting the light of a picture that is added-pasted later on the picture is different, it is understood that there is a play in the picture and in which part there is a play.

For now, we will only touch on the ELA analysis, which will be enough to learn the ELA analysis for you to understand whether a picture is real or fake. It is very rare to have an image that cannot be identified as fake from the ELA analysis. The existence of a ptohoshop artist of this skill is very rare, according to scientists writing a thesis on the subject. In order not to be understood from the ELA analysis, an image must be a very small size or a screenshot taken from a video. In other words, when you stop the godzilla movie, copy the screenshot and paste it into photoshop and get a new picture; It will not be understood from the ELA analysis that godzilla is fake.

Simply the ELA analysis shows the intensity of the image and is a black and white result as you will see plenty of examples below. If an image has close and homogeneously distributed colors as a result of ELA, the image is most likely real. However, if there is dark white-dark blackness or a different color tone gathered in a certain region, that region has been changed.

This picture is a picture taken with my personal camera and uploaded here (from my hometown) without being exposed to any image program. Below you will see the ELA analysis image I got from the “photoforensically beta” site of this unplayed image. We drag the picture to the site and click on “ERROR LEVEL ANALYZ” from the tabs on the right. It already shows us the result from the automatic settings.

 

 

In the first picture above, you can see how normal the ELA analysis is and how the colors are compatible. Now, let’s save this picture once again with Photoshop without playing and get an ELA analysis. Normally, according to experts, even if Photoshop has never been played with, when it is recorded 60-odd times in a row, the colors will change, so the picture will be very dark white rather than dark black. In the picture below, you see the ELA analysis of the first record;

 

I did not put it because there was no visible change in the original of the picture. There is almost no change in the ELA analysis. Now (below) I cut and add a “transparent arrow” image and an “airplane image” from another image with care (below) and I get an ELA result.

 

 

In the ELA analysis you see the different and intense hue around the Arrow mark and the different intense hue on the plane. Here you understand whether a picture is photosoped. ELA settings we use in the program (ELA analysis site); JPEG quality:75 is Error scale:20. This is the most common setting. You can increase or decrease these settings so that you can clearly see the problem. If you notice a problem at any level (in quality and error scale settings), it means that the picture has been changed.

Now (below) I’m copying 2 more from the plane and adding it to the picture and getting an ELA result.

As you can see, the color difference and density in the other two planes are obvious. The reason why the plane turns from white to black is because its resolution (quality) decreases when magnified. We will now proceed with more specific examples.
I added a mountain to the upper right corner of the same picture with the “clone stamp” method in photoshop. Clone stamp is basically copying a piece of image in the picture and pasting it somewhere in the picture. This process is mostly photographers; acne in your passport photo etc. They use it by copying a round area from the clean part of your face and pasting it on the spotty area to cover it up. I copied a piece of the mountain image in the picture and increased the amount of mountain in the upper right corner. but the ELA analysis did not detect this change that I made.
As you can see, the plane and arrow added from other images are detected by the ELA analysis, while the reproduction from the same image is not detected in the ELA analysis. Therefore, if you think that an area in the picture is duplicated in a picture, you should use the “Clone Detection” section on the “forensically beta” site. The multitude of pink lines you see in this section indicate cloning in one region. One end of the pink line indicates the copied area, and the other end indicates the pasted area.

 

now we figured out how to expose cloning. Here are the things we need to know about the clone detection part; very small, almost dot-sized, pink portions are not significant and do not indicate a cloning. Because they show very small pixels that look alike. In other words, since the roof of the houses in the picture is the same, one might think that a point on the roof is the same as a point on another roof, whereas the roof was not copied in photoshop.
The settings of the Clone detection section are as follows.

 

The “minimal similarity” part means minimum similarity, so if we increase it, it will find larger areas that have been copied. If we make it to a minimum, it will detect all similar tiny pixels as duplicates and the whole picture will be filled with pink lines. The setting of this part; depends on the size of the area you think is being copied.
If we increase the “minimum detail” part, it will give importance to the details of similar parts and will find less similar parts. This part is generally kept in alignment like 0.10.
“Minimal cluster size” is generally kept at a medium level. If we increase it, it will concentrate on the most heavily copied area. In other words, as you increase it, it will only show the area where the mountain is (because it was copied over and over) and ignore other points and parts with slight similarity. “Block size” sets the size of the cloned part, the higher it is, the larger it will search for copied. It doesn’t make sense to make this part too big, because in general, photoshops do not copy very large areas, they copy and paste little by little so that it is not obvious. So it’s reasonable for it to be around 4.5 at the intermediate level.
The “Maximal image size” setting takes into account the resolution of the image to be used. In general, 1024 resolution is ideal, to be more sure, if your image is larger than 1024, you can maximize it, but this will take a little longer to process.
Now let’s complicate things further and apply one more method to make sure the ELA analysis method is correct. We will do the adding filter to the picture, which you all know more or less from your instagram or your phones, with photoshop, then we will see if it is understood in the ELA analysis.
In the same sequence that I first opened for photoshop; that is, I added 3 filters on the picture, arrow and planes (I increased the darkness and color intensity of the whole picture) and when I saved and looked at the ELA result, the colors changed a little, but it still showed the played parts. Then I opened this picture in a new photoshop sequence and added 3 more filters on it. And the ELA result was again as below, you see.

 

So the colors change a bit when the filter is added. However, the parts that have been manipulated (added from another picture, etc.) are evident in the ELA analysis. As a result, ELA analysis is a very reliable method to measure the authenticity of the picture, as experts say.
We will continue on this page with more specific examples and research on ELA analysis.

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