Compressive spectral video by dynamic spatial-spectral-temporal windowed codification

Area of Science:

• Optics and Photonics
• Image Processing
• Spectroscopy

Background:

• Snapshot compressive imaging enables efficient high-dimensional data acquisition.
• Capturing full-spectral video in a single snapshot is challenging due to separate spectral and temporal dimension acquisition.

Purpose of the Study:

• To develop a single-shot compressed dynamic color-coded spectral video system.
• To address limitations in capturing spectral video within a single exposure.

Main Methods:

• Employs a windowed temporal encoding approach for improved pixel intensity and dynamic range.
• Synchronizes a liquid crystal tunable filter with a coded aperture device for spectral video encoding.
• Utilizes a plug-and-play alternating-direction multiplier method (PnP-ADMM) for data recovery.

Main Results:

• Demonstrates effective capture and reconstruction of compressed spectral video.
• Achieves improved pixel-intensity uniformity and dynamic range through windowed temporal encoding.
• Validates system effectiveness via extensive simulations and experimental proof-of-concept.

Conclusions:

• The proposed system efficiently captures and reconstructs four-dimensional spectral video data in a single shot.
• The novel compressive coding scheme and PnP-ADMM algorithm offer a viable solution for spectral video acquisition challenges.