Simultaneous Super-Resolution of Spatial and Spectral Imaging with a Camera Array and Notch Filters

TL;DR

This paper introduces a novel multi-aperture camera array system with notch filters for simultaneous super-resolution spatial and spectral imaging, achieving significant improvements in image quality and processing efficiency.

Contribution

It presents an integrated algorithm combining super-resolution, pan-sharpening, and spectral reconstruction for multi-aperture imaging, enhancing resolution and spectral fidelity.

Findings

Achieved a peak SNR of 35.6dB, 5dB higher than previous systems.

Successfully reconstructed 31 super-resolution spectral images.

Reduced processing time compared to existing snapshot spectral imaging systems.

Abstract

This study proposes an algorithm based on a notch filter camera array system for simultaneous super-resolution imaging and spectral reconstruction, enhancing the spatial resolution and multispectral imaging capabilities of targets. In this study, multi-aperture super-resolution algorithms, pan-sharpening techniques, and spectral reconstruction algorithms were investigated and integrated. The sub-pixel level offset information and spectral disparities among the 9 low-resolution images captured by the 9 distinct imaging apertures were utilized, leading to the successful reconstruction of 31 super-resolution spectral images. By conducting simulations with a publicly available dataset and performing qualitative and quantitative comparisons with snapshot coded aperture spectral imaging systems, the experimental results demonstrate that our system and algorithm attained a peak signal-to-noise ratio of 35.6dB, representing a 5dB enhancement over the most advanced snapshot coded aperture spectral imaging systems, while also reducing processing time. This research offers an effective solution for achieving high temporal, spectral, and spatial resolution through the utilization of multi-aperture imaging systems.