The study's use of AI to improve the quality of metalens images could help make the technology far more viable.
In a new study, researchers were able to improve the low-quality images produced by a metalens. These types of ultra-thin cameras have the advantage of being small, but typically have poor image quality. That may be changing.“Metalenses are ultrathin optical devices — often just a fraction of a millimeter thick — that use nanostructures to manipulate light,” asexplains.
“Our technology allows our metalens-based devices to overcome the limitations of image quality,” research team leader Ji Chen from Southeast University in China said in a release. “This advance will play an important role in the future development of highly portable consumer imaging electronics and can also be used in specialized imaging applications such as microscopy.
“Metalens-integrated cameras can be directly incorporated into the imaging modules of smartphones, where they could replace the traditional refractive bulk lenses,” Chen added in the release. “They could also be used in devices such as drones, where the small size and lightweight camera would ensure imaging quality without compromising the drone’s mobility.”
It will be interesting to see how metalens technology and the use of machine learning to improve images from these cameras evolves. While this latest study focuses on AI to clean up results, other work is being done to
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