Computational Spectral Imaging Based on Adaptive Spectral Imaging

Abstract

This paper presents a new paradigm on adaptive spectral imaging to address practical spectral imaging issues such as robustness of spectral estimation transform, dependency on training sample set and impact of non-uniform illumination on estimation accuracy. Computational spectral imaging using reconfigurable imaging sensors with tunable spectral sensitivities is introduced as a possible powerful approach to address these practical spectral reconstruction issues. As an example of effectiveness of reconfigurable imaging sensor embodiment, experiments and results previously presented at the IS&T/SID 19th Color and Imaging Conference is reviewed mentioning potential applications and implementations of proposed computational spectral imaging.