用九镜头阵列与滤波器实现空间与光谱同时超分辨
Simultaneous Super-Resolution of Spatial and Spectral Imaging with a Camera Array and Notch Filters
- 通过九个镜头采集低分辨率图像，利用亚像素偏移和光谱差异重建高分辨率数据
- 重建出31组超分辨光谱图像，峰值信噪比达35.6dB，较先进系统提升5dB
- 适合需要高速、高时空谱分辨率成像的科研与工业场景
本研究提出一种基于带通滤波器相机阵列的算法，实现空间与光谱的同步超分辨成像，显著提升目标的空间分辨率和多光谱成像能力。研究整合了多孔径超分辨算法、全色锐化技术与光谱重建方法，利用九个不同成像孔径捕捉的9幅低分辨率图像中的亚像素级偏移信息及光谱差异，成功重建出31组超分辨光谱图像。通过公开数据集仿真，并与快照编码孔径光谱成像系统进行定性与定量对比，实验结果表明，该系统与算法在峰值信噪比上达到35.6dB，相较当前最先进的快照编码孔径系统提升5dB，同时降低处理时间。该研究为通过多孔径成像系统实现高时间、光谱与空间分辨率提供了有效解决方案。
原文摘要 · Abstract (English)
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.
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