Software algorithm makes hyperspectral imaging faster
Researchers have developed an algorithm that can quickly and accurately reconstruct hyperspectral images using less data. The images are created using instruments that capture hyperspectral information succinctly, and the combination of algorithm and hardware makes it possible to acquire hyperspectral images in less time and to store those images using less memory.
Feb 26th, 2016
Researchers have developed an algorithm that can quickly and accurately reconstruct hyperspectral images using less data. The images are created using instruments that capture hyperspectral information succinctly, and the combination of algorithm and hardware makes it possible to acquire hyperspectral images in less time and to store those images using less memory.
The Laser Focus World take:
Photonics instrumentation is a powerful combination of both optical hardware and software. Oftentimes, when hardware reaches its limits, software can intervene to fill the gap and extend the capabilities of existing hardware. For example, computational imaging dramatically expands what a physical camera can do, and coherent communications can improve over what the fiber-optic hardware is able to achieve in terms of transmitted communication data.
Photonics instrumentation is a powerful combination of both optical hardware and software. Oftentimes, when hardware reaches its limits, software can intervene to fill the gap and extend the capabilities of existing hardware. For example, computational imaging dramatically expands what a physical camera can do, and coherent communications can improve over what the fiber-optic hardware is able to achieve in terms of transmitted communication data.
