Compressive spectral imaging via deformable mirror and colored-mosaic detector

Area of Science:

• Optics and Photonics
• Image Reconstruction
• Spectroscopy

Background:

• Compressive Spectral Imaging (CSI) reconstructs spectral images from limited 2D projections.
• Existing CSI architectures often utilize dispersive elements like gratings or prisms with coded apertures or spatial light modulators.
• There is a need for more compact and efficient CSI systems.

Purpose of the Study:

• To introduce a novel, compact Compressive Spectral Imaging (CSI) architecture.
• To develop a tensor-based reconstruction algorithm for spatial-spectral data.
• To demonstrate the efficacy of the proposed system and algorithm.

Main Methods:

• Developed a compact CSI architecture using a deformable mirror and a colored-filter detector.
• Generated compressive spatio-spectral projections without gratings or prisms.
• Proposed a tensor-based algorithm for reconstructing spatial-spectral information from compressed measurements.

Main Results:

• The novel CSI architecture successfully produced compressive spatio-spectral projections.
• The tensor-based reconstruction algorithm effectively recovered spatial-spectral information.
• Experimental results validated the performance on simulated and real datasets.

Conclusions:

• The proposed compact CSI architecture offers an effective alternative to traditional designs.
• The tensor-based reconstruction algorithm enhances the accuracy of spatial-spectral recovery.
• This work advances the field of Compressive Spectral Imaging.