2018 was a year of great growth in the application of artificial intelligence in photography

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2018 was a year of track to what will mark the path of technology in photography. On the one hand it was seen that the focus of the companies will be to follow the path of the cameras without a mirror. But, more striking, is the growth of the focus on the development of artificial intelligence for the processing of images .

Building the way

In late 2017, Adobe added some of its artificial intelligence software (Adobe Sensei). Among them were Lightroom, Photoshop and Camera Raw pioneers with new intelligent automatic development options and intelligent masks. Of course, these first explorations were not the most advanced and complete, but they were the beginning of a year of learning for the AI.

The following year, several companies and universities worked on different imaging solutions. We have learned from NVIDIA’s work to develop artificial intelligence that can recover damaged photos. By April of this year, the AI had been fed with over 55,000 images and was able to reconstruct faces with great precision.

In May, we got to know the work of Intel and the University of Champaign Urbana, Illinois, working on an amazing artificial intelligence that can expose underexposed photographs and eliminate the resulting noise while maintaining detail quality.

This AI has been tested with high-end cameras such as the Sony a7S II and other low-end devices such as Google Pixel 2, demonstrating the commercial versatility of the technology.

And these are some examples of developments that use artificial intelligence. The most striking feature of the year is the application of these KIs in commercial projects, both in the mobile world and in software.

First, let’s look at Google’s great example of introducing Google Nightsight at the end of 2018, an artificial intelligence that lets you capture images in 0.3 lux lighting environments on your Google Pixel 3 phones. An artificial intelligence that improves the performance of mobile photography and gives users access to much better quality images.

In the software world, Adobe showed years of learning with Adobe Sensei. During Adobe Max 2018, the company made strong advances that have already been applied with the new CC 2019 versions of some software. In particular, we can see how the new processing engines of the development programs make it possible to correct images that we previously found insurmountable. We also see that features like Photoshop’s “Filling Content” had a big jump between the end of last year and the release of CC 2019.

The point is that no company can be saved from using artificial intelligence technologies. As DPReview reports, Skylum announced the opening of an AI-specialized development laboratory in collaboration with Photolemur. In addition, the functions of the artificial intelligence Luminar and Aurora are promoted as a key point of the new versions of the retouch plug-in.

What does the future hold?

As camera development companies focus on establishing the market for mirrorless cameras and continuing to expand their physical technologies, artificial intelligence will be an element that can not be ignored this year.

The Panorama does not show that they will soon feature a high-end camera with AI capabilities, but with the advancement of mobile photography, big companies should be thinking of bringing Winks to using the same products the new decade.

The bet has already started on the mobile developer side. This means that companies need to act quickly to find a differentiator on the market. Google started with Nightsight in Google Pixel 3.

A few months ago, Techcrunch released a wonderful special explaining how mobile photography is developing the fastest at the software level. This is due to the limitation of the size of the devices and the fact that the current hardware level is peaking at the physical level.

The only thing that can be improved is the way the components are used to process the image and get a high quality image. To achieve this, these artificial intelligences must be fully optimized.

On the side of the editing software, Adobe can be expected to continue implementing new artificial intelligence tools. The next breakthrough in current AI tools could be seen in the mid-year updates . And it would not be strange that new artificial intelligence functions are born in the coming months, as Adobe is putting its biggest bet on the growth of Sensei and smart tools.

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