How Google's Handheld Multi-frame Super-resolution Technology Works

Wednesday 5 June 2019, 14:41 by Michelle Peeters | 4,484 views | 0 comments

This article was translated from Dutch with the help of AI. Read the original.

Because there are physical limits to how large smartphone sensors can be, companies such as Google have relied heavily on computational photography, using digital rather than optical processes to improve a camera's capabilities.

This article includes a three-minute video explaining how Google's super-resolution technology works.

Compared with DSLRs, smartphone cameras have smaller sensors, which limits their spatial resolution. Smaller apertures limit their light-gathering capability. The smaller pixels reduce the signal-to-noise ratio. The use of colour filter arrays (CFAs) requires demosaicing, which further reduces the resolution.

Google's solution for excellent image quality involves taking a series of unprocessed photos every time the shutter button is pressed.

Because the human hand naturally always causes at least a slight tremor, the pixel-level differences between the photos in the burst can be used to find optimal detail at every pixel location.

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About the author

Michelle Peeters is fotografe en oprichter van DeuxBleus Fotografie. Michelle herkent het bijzondere in het gewone en het gewone in het bijzondere. Ze heeft zich nooit willen specialiseren en is daardoor van alle markten thuis.

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