What is Spectral Reconstruction?
Spectral imaging enables many versatile applications due to its ability to capture rich spatial and spectral information, which is critical for identifying substances. However, the equipment for acquiring spectral images is usually expensive and very complex, hindering its widespread use in consumer electronics, such as routine food inspection and point-of-care medical screening. In recent years, many computational spectral imaging methods have been widely used. The spectral information is reconstructed by directly from widely available RGB images. These reconstruction methods can preclude the use of cumbersome spectral camera hardware while maintaining high spectral resolution and imaging performance.
Why SR-Seg?
As shown in Figure, the SR method does not require a complex imaging process only requires a trained model to be able to obtain spectral data.

Researcher
Zhixun Pei