Artificial intelligence to restore old photos with this filter
Photoshop.  (photo: Playlist Magazine)
Photoshop. (photo: Playlist Magazine)

During the last years, photoshop was based on the artificial intelligence to provide many features that make photo editing easier. However, the latest novelty presented by Adobe takes artificial intelligence (AI) capabilities to the next level.

And it’s very fast users will be able to recover their old photos, even if they are damagedwith just a few clicks while the application takes care of the rest.

The aforementioned tool is a “simple” filter that works through a neural network. When applied to an old photo, It automatically removes virtually all damage caused by the passage of time. From a light scratch to the paper tear.

However, it will also apply some enhancements to the image, such as noise reduction and color correction. After this process, the photos will be completely restored. Although the end result can also be achieved with lengthy manual editing, this filter works in seconds.

Right now, yeah is in beta for a limited number of people, but Adobe hopes to roll it out to all users soon. In the following video you can see in detail how the neural filter works; first with a photo of a woman, then a picture of a child:

This filter can be customized depending on the user

Many readers are probably wondering: is it possible to change the filter settings to get a custom restore? Fortunately, Yes.

In an interview with Creative Bloq, an Adobe representative confirmed that users can enable and disable different filtering options according to their needs. For example, you can remove scratches and noise, but keep the original color.

Now from Adobe they mention that although the filter worked very well, restoration could be improved with other Photoshop tools.

“Using the filter in combination with Photoshop’s existing capabilities, rather than a one-click solution, is the best way to get the best of both worlds in terms of automation and manual control. We also suggest trying it out with lots of different images to understand when it’s the right fit for a given situation.” mention adobe in the official press release.

On the left, the unretouched photo.  On the right, the photo retouched with Photoshop.  (photo: Adobe/YouTube/Jose Arana)
On the left, the unretouched photo. On the right, the photo retouched with Photoshop. (photo: Adobe/YouTube/Jose Arana)

Adobe Sensei, the key to making the new Photoshop filter possible

Although using this tool is very simple for the user, the process behind it is really complicated. adobe-a Sensei, a platform of machine learning and artificial intelligence which automates various image editing processes and thus saves a lot of time. It was possible to see its potential unleashed not only in Photoshop but also in First Yes bright room.

“Sensei delves deeper into data, enhances creative expression, speeds up tasks and workflows, and facilitates real-time decision making,” says Adobe.

Apparently, Sensei trains by analyzing millions of images depending on the end goal. In the case of the Photoshop filter, it is to restore an old photo, although the application has performed many other tasks.

On the left, the unretouched photo.  On the right, the photo retouched with the artificial intelligence of Photoshop.  (photo: Adobe/YouTube/Jose Arana)
On the left, the unretouched photo. On the right, the photo retouched with the artificial intelligence of Photoshop. (photo: Adobe/YouTube/Jose Arana)

Adobe’s About Face, the tool that helps identify photos that have been manipulated

Adobe has a very interesting option with which it is possible to distinguish faces that have been changed by the use of Technology.

Its operation is based on the photo analysis of algorithm developed by the company and by the University of Berkeley. This tool can detect those images that have been modified with the functions of photoshop.

According to studies conducted on the tool, its effectiveness is higher than that of humans.  (Photo: Adobe)
According to studies conducted on the tool, its effectiveness is higher than that of humans. (Photo: Adobe)

The objective of the platform will be to know what are the filters which have been applied in the picture to find out later precisely what type of change were made on her.

Its effectiveness is relevant, since when asked to human volunteers which detected a sample of modified faces, only correct answers in one 53% times on the other side, the algorithm was 99% efficient opportunities.

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