Any photographer will tell you that professional lighting equipment is not easy to carry around. So, one company decided to try and give photos that professional feel with something that actually fits in your pocket: the Relonch Alfred.
Alfred is an iOS app that uses machine learning to correct photos that are badly lit. It analyzes each area of the photo separately and applies the necessary adjustments. It uses one single slider for the correction, eliminating other controls.
Best part? It does not require a dual lens camera either.
Alfred creates a color and exposure map of the photo and takes note of where both the lightest and darkest areas are located. All that information helps the software localize the areas that need adjustments. With just the use of the slider, it brightens up the darkest portions of the photo and leaves the correctly exposed areas untouched.
To obtain this result, a 25-member editing team spent nearly two years to manually edit 100,000 photos. The manual adjustments were given to the machine leaning software, which, in turn, taught the program how to create the localized adjustments.
The app is brought by Relonch, the same company behind the A.I Relonch camera.
Relonch plans much more for the app as the team responsible for Alfred is working on a beta version that works for videos while they’re being recorded.
It has been announced that, in the future, there will also be an Android release for the app, but until then, Alfred, still in its inception stage, was announced officially on May 15 and is available as a demo on the App Store.