Don’t trust your mobile camera, because your photos will never be 100% original for this reason

Mobile Camera

A few years ago, we were seeing a battle between the three major smartphone brands, Samsung, Google and Apple, to see which of them could put one of their phones belonging to mobile imaging. Initially, they did this by increasing the megapixel in sensors, but now the battle is focused on the manufacturer who can achieve the best image processing using artificial intelligence. Your mobile camera is not as perfect as you think!

This means that the images you take with your mobile cameras are not 100% authentic, and we will explain why below.
First of all, you should bear in mind that phones with the best cameras on the market belong to manufacturers specializing in software development and that what Samsung, Google and Apple do specifically is overcome the physical constraints of sensors using “computer imaging” to process and improve images.

In this sense, these brands use different computer imaging techniques to improve images captured on mobile cameras. Some are simple such as making an automatic color adjustment or white balance, but others go beyond just editing images.

One such advanced technology is the so-called “Stacking” b, a function in the smartphone camera software that captures many images in just a few parts of a second, each captured in a different focus or over-exposure settings, combining to create a new image with a high dynamic range, stronger (but unrealistic) colors, and less blurry for movement.

This stacking technology, for example, is used in the so-called night mode to get a brighter night image without the need to apply a long light exposure time, as this may cause movement blur and other problems that will affect image quality.

Computational imaging is a clear goal: to get good images using modest devices, and without any doubt, we can testify that they have achieved this. But, on the other hand, the images obtained through these technologies are unrealistic and abnormal because they don’t really reflect what the mobile camera captures.