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Deep Learning Can Now Flawlessly Correct Photos Taken in Almost Complete Darkness

An underexposed image corrected using deep learning algorithms.

Researchers at Intel and the University of Illinois UrbanaChampaign have developed a way to use machine learning to artificially boost the brightness of a dark photo.

Credit: University of Illinois UrbanaChampaign, Intel

Machine learning can artificially increase the brightness of photos taken in low-light conditions with impressive results, according to researchers from Intel and the University of Illinois, Urbana–Champaign.

Using deep learning techniques, the team trained an algorithm to properly brighten and color-correct a poorly exposed image during post-processing.

With the new algorithm running on a smartphone's camera app, the small sensors inside smartphones may not need to match the performance of the sensors used in digital single-lens reflex (DSLR) cameras. Instead, a software update one day could allow smartphone photos from the average consumer to rival images from the most expensive cameras.

From Gizmodo
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