Hadamard transform-based hyperspectral imaging using a single-pixel detector.

Area of Science:

• Optics and Photonics
• Spectroscopy
• Imaging Technology

Background:

• Hyperspectral imaging is crucial for analyzing material composition and spatial distribution.
• Traditional hyperspectral imagers often face challenges with speed, complexity, and data acquisition volume.
• Developing compact and efficient hyperspectral imaging systems remains an active research area.

Purpose of the Study:

• To develop and demonstrate a single-pixel hyperspectral imager based on Hadamard transformation.
• To achieve efficient 3D data cube acquisition with high signal-to-noise ratio (SNR).
• To enable versatile spectral imaging across different wavelength ranges.

Main Methods:

• The imager employs Hadamard transformation for both spatial and spectral encoding.
• A digital micromirror device (DMD) is used for spatial encoding, and a resonant scanning mirror with a Hadamard mask for spectral encoding.
• Pushbroom operation is achieved internally by DMD-based slit shifting, eliminating the need for object scanning.

Main Results:

• Experimental results demonstrate the successful acquisition of hyperspectral data cubes for various objects.
• The imager operates effectively in the visible spectral range (450 nm–750 nm).
• The system design allows for easy reconfiguration to other spectral ranges.

Conclusions:

• The developed single-pixel hyperspectral imager offers an efficient and versatile solution for spectral data acquisition.
• The use of Hadamard encoding provides a significant advantage in achieving high SNR.
• The internal pushbroom mechanism simplifies the 3D data cube acquisition process.