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The Chinese hi-res imaging technique that could sharpen remote sensing and astronomy

A team in China have come up with a way to improve the resolution of digital sensors

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Tests in the laboratory and outdoors indicated that HSI significantly improved imaging quality for various targets, including flying drones, researchers say. Photo: Shutterstock
Zhang Tongin Beijing

A new approach to digital imaging promises to ramp up resolution, with potential applications in astronomy and remote sensing, according to its developers.

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The approach – developed by the Chinese Academy of Sciences’ Aerospace Information Research Institute – uses multiple images, rather than one, to get an accurate picture of light signals.

The result is a 15-fold increase in image resolution, the team said in a paper published in the peer-reviewed journal Laser & Photonics Reviews, on November 11.

HSI uses complex mathematical algorithms to come up with a clearer picture from information in digital sensors. Photo: Handout
HSI uses complex mathematical algorithms to come up with a clearer picture from information in digital sensors. Photo: Handout

Much like traditional film imaging, digital image sensors (DIS) capture light by sampling the light field. However, in digital sensors, light signals are converted into electrical signals for storage.

The chips used to store that information have improved but the sampling resolution of such sensors is still much lower than that of optical film.

To overcome these limitations, the team led by Zhang Ze developed a technology called hyper-sampling imaging (HSI).

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HSI stacks multiple images and uses complex mathematical algorithms to recalculate photon distribution.

A key parameter in digital imaging is quantum efficiency (QE), which measures how sensitive a single pixel is to light.

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