AI Article Synopsis

  • Compressed spectral imaging (CSI) captures spectral images in one shot using a mask, but often misses some information hidden by that mask.
  • Our approach takes advantage of this overlooked information by using a sparse mask design to gather both spectral data and additional spatial information at the same time.
  • We enhance the reconstruction quality of spectral images by using a spatial-spectral dual filtering technique, integrating everything into one device to avoid issues normally caused by beam splitters in traditional systems.

Article Abstract

Compressed spectral imaging (CSI) typically captures spectral images in a single shot by encoding scenes with a mask, but it often neglects information occluded by the mask. This paper capitalizes on such overlooked information to enhance spectral imaging performance. By integrating a sparse mask design, our approach captures both spectral data and complementary spatial information simultaneously. We utilize a spatial-spectral dual filtering technique to achieve superior reconstruction quality of spectral images. Contrasting with conventional dual-camera CSI systems, our design combines information encoding and beam splitting within the single device, circumventing the degradation of spectral signals typically caused by beam splitters. Through the integrated optical structure-mask-algorithm approach, it significantly improves reconstruction performance compared to existing CSI systems.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OL.539917DOI Listing

Publication Analysis

Top Keywords

spectral imaging
12
compressed spectral
8
captures spectral
8
spectral images
8
csi systems
8
spectral
7
c3si-compact complementary
4
complementary compressed
4
imaging compressed
4
imaging csi
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!