How one company is putting an end to inaccurate skin tones in smartphone photos

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Mobile Nouvelles

Photography,Skin Tone,Tecno

Table of Contents It’s been a decade since I got my first smartphone. One element that has always stood out for me was the rapid progress in smartphone imaging.

From the days of slow shutters and motion blurring to exposing elements that are even invisible to the naked eye and capturing film-ready LOG footage, smartphone cameras have come a long way.

Tecno’s solution to the skin tone conundrum The primary goal of this AI-driven technology is skin color restoration and adjusting the calibration in tandem with the camera sensor on a smartphone. While primarily a software algorithm, Tecno says the whole stack is tailored to unique camera hardware to get the best results.

In a nutshell, Universal Tone is a skin color categorization method that is unique to Tecno’s hardware. “Tecno’s multi-skin-tone color card is based on the true collection of human skin tones,” explains Dr. Kaida Xiao, associate professor in Colour and Imaging Science in the School of Design at the University of Leeds.

On top of it, there are beautification algorithms that tend to whitewash skin tone. Yes, there is a preference for lighter skin tones in Asian countries, but I’d much rather have the real skin tone as the initial output and add my own set of beautification edits than have an algorithmic mess to begin with.

 

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