Spectral Super-resolution Using Tilted Area Sensor and Spectrally-varying Blur Kernel Estimation

Abstract

Spectral measurements are used in a material analysis and scene recognition . The conventional spectrometer has a trade off between the resolution and the measurement range. In this study, we propose a super resolution method with sensor tilting and spectrally varying blur kernel estimation from sparse atomic emission lines. We experimentally validated that a spectrometer with the tilted sensor could achieve about 20 times better resolution than the raw measurement