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because your photos will never be 100% authentic

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The Artificial Intelligence that smartphone manufacturers apply to the processing of photographs causes them to be a bit “false”.

Do not trust your mobile camera: because your photos will never be 100% authentic
The Samsung Galaxy S23 Ultra is one of the phones with the best camera today

For some years we have been witnessing a fight between the three main brands of smartphones, samsung, Google and Appleto see which one manages to position one of its terminals as the king of mobile photography. At first, they did it by increasing the megapixels of the sensors, but now the fight is focused on which manufacturer can achieve the best photo processing through Artificial Intelligence.

This causes the photographs you take with your mobile cameras are not 100% authentic and then we will explain why.

Why smartphones “fake” photos

First of all, you should bear in mind that the phones with the best cameras on the market belong to manufacturers specialized in software development and precisely what Samsung, Google and Apple are doing is overcoming the physical limitations of the sensors. using “computational photography” to process and enhance photographs.

In this sense, these brands are using different computational photography techniques to improve the images taken with mobile cameras. Some of them are as simple as perform automatic color or white balance adjustmentbut others go beyond the mere editing of the photos.

One of these advanced techniques is the so-called “Stacking” or Stacking, a functionality of smartphone camera software that takes several images in just a few milliseconds, each of which is taken with different focus or overexposure settings, and combines them to create a new image with high dynamic range, much stronger (yet more unrealistic) colors, and minimal motion blur.

This stacking technique is used, for example, in the so-called Night Mode for achieve a brighter night image without having to apply a long exposure timeas this would cause motion blur and other issues that would affect the quality of the photo.

Computational photography has a clear objective: get good pictures using mediocre hardware and, without a doubt, we can attest that he has succeeded. But, on the other hand, the photos obtained through these techniques they are unrealistic and natural because they do not really reflect what the mobile camera is capturing.



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