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Multiframe image estimation for coded aperture snapshot spectral imagers
David Kittle1, Kerkil Choi, Ashwin Wagadarikar
1Fitzpatrick Institute for Photonics and Department of Electrical and Computer Engineering, Duke University, 129 Hudson Hall, Durham, North Carolina 27708, USA.
Applied Optics
|December 22, 2010
Summary
Using multiple snapshots with a coded aperture snapshot spectral imager (CASSI) improves spectral reconstruction for less sparse scenes. This technique enhances spatial and spectral fidelity without significant increases in acquisition or reconstruction time.
Area of Science:
- Optics and Photonics
- Computational Imaging
- Spectroscopy
Background:
- Coded aperture snapshot spectral imagers (CASSI) reconstruct 3D data cubes from 2D projections.
- Existing CASSI methods assume scene sparsity, limiting performance for less spectrally sparse scenes.
- Ill-posed nature of data cube recovery is a key challenge.
Purpose of the Study:
- To investigate the use of multiple nondegenerate snapshots for improved CASSI performance.
- To enhance spatial and spectral reconstruction fidelity in CASSI systems.
- To assess the scalability and efficiency of multiframe CASSI acquisition.
Main Methods:
- Employed multiframe reconstruction using multiple CASSI snapshots.
- Acquired data from a 640 × 480 × 53 voxel datacube under white-light illumination (450-650 nm).
- Evaluated reconstruction fidelity and computational overhead.
Main Results:
- Multiframe CASSI significantly improves spatial and spectral reconstruction fidelity for less spectrally sparse scenes.
- The method reduces the ill-posed nature of data cube recovery.
- Acquisition and reconstruction times show only a limited increase.
Conclusions:
- Multiframe CASSI is a robust extension of snapshot spectral imaging.
- This approach enhances spectral and spatial resolution without substantial hardware modification.
- The technique offers improved performance for dynamic or complex spectral scenes.
