Researchers at the University of Sussex, a well-known British research institute, use a single-pixel camera that works at terahertz frequencies to achieve high-precision capture of object shapes and even chemical composition. This technique uses time-resolved measurements to reproduce the complexity of the object.
Time-resolved nonlinear ghost imaging
The University of Sussex team's approach is to illuminate objects with terahertz light patterns that contain a broad spectrum of colors. The team then uses a single-pixel camera to capture the light reflected by the object for each pattern. Even if the terahertz pulse is fleeting, the camera can detect how the light pulse changes due to the object over time. Based on this information and understanding of the shape of the pattern, researchers can deduce the shape and composition of the object.
Researchers have described this new approach as nonlinear ghost imaging, which theoretically has potential advantages over state-of-the-art imaging systems in the terahertz frequency range.
Researcher Juan Sebastian Totero Gongora said: "Our approach has produced a new type of imaging technology that is very different from the image obtained by a standard single-pixel camera because it provides more object information. With the previous single-pixel image In comparison, we have also proved that our resolution is originally higher."
“The method used by the terahertz single-pixel camera does not preserve the complete information of the object, but we know where the problem is and determine the way to extract a more complete image,†said Professor Marco Peccianti. “We want a system similar to ours. It can be used in practical applications in the fields of biology, medicine and safety to simultaneously achieve the chemical composition of objects and the determination of their spatial distribution."
In addition to the potential impact on terahertz cameras, nonlinear ghost imaging technology is also used to design high-resolution cameras in other frequency ranges that can be combined with crash sensors, body scanners or ultra-fast radar technology for self-driving cars.
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