arXiv:2501.12705eess.IVcs.LG2025-01

建模光路畸变与对齐误差,发现其对高光谱重建影响有限。

The Marginal Importance of Distortions and Alignment in CASSI systems

  • 基于可微光线追踪构建畸变与像差模型,实现真实成像模拟。
  • 四种不同像差的系统测试显示,畸变对重建质量影响微弱。
  • 适合光学设计与计算成像研究者参考,推动新型成像仪开发。

本文提出一种基于可微光线追踪的模型,将像差与畸变纳入编码孔径高光谱快照成像仪(CASSI)的成像过程,以生成更真实的高光谱数据。设计了四种具有不同程度光学像差的CASSI系统,并结合五种前沿的高光谱立方体重建方法进行评估。重建过程引入各系统的传播模型映射函数,以补偿畸变与像差。分析表明,只要正确建模,系统几何畸变和色散元件错位对重建质量的影响微乎其微。因此,放宽传统测量一致性与保真度约束,有助于基于性能指标设计或优化成像采集流程。本工作提供完整的系统设计、仿真与评估框架,推动CASSI系统优化及计算成像领域创新。

原文摘要 · Abstract (English)

This paper introduces a differentiable ray-tracing based model that incorporates aberrations and distortions to render realistic coded hyperspectral acquisitions using Coded-Aperture Spectral Snapshot Imagers (CASSI). CASSI systems can now be optimized in order to fulfill simultaneously several optical design constraints as well as processing constraints. Four comparable CASSI systems with varying degree of optical aberrations have been designed and modeled. The resulting rendered hyperspectral acquisitions from each of these systems are combined with five state-of-the-art hyperspectral cube reconstruction processes. These reconstruction processes encompass a mapping function created from each system's propagation model to account for distortions and aberrations during the reconstruction process. Our analyses show that if properly modeled, the effects of geometric distortions of the system and misalignments of the dispersive elements have a marginal impact on the overall quality of the reconstructed hyperspectral data cubes. Therefore, relaxing traditional constraints on measurement conformity and fidelity to the scene enables the development of novel imaging instruments, guided by performance metrics applied to the design or the processing of acquisitions. By providing a complete framework for design, simulation and evaluation, this work contributes to the optimization and exploration of new CASSI systems, and more generally to the computational imaging community.

高光谱成像计算成像可微渲染

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