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.
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