Hyperspectral Imaging Using Tunable Fabry-Perot Etalon
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Solution Overview
Problem
Current hyperspectral imaging techniques often compromise on spatial or spectral resolution, require prior knowledge of the scene, and suffer from low light efficiency and complex system designs, especially in snapshot acquisition methods.
Innovation Solution
A hyperspectral imaging system utilizing a wide spectral range clear aperture Fabry-Perot etalon placed in front of a detector pixel matrix, operating in multiple-exposure mode with different transmission curves to capture a complete hyperspectral cube with full spatial and spectral resolutions, without prior scene knowledge, and integrated within standard imaging systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If compressed sensing techniques are used for snapshot hyperspectral acquisition, then acquisition speed is improved, but light efficiency deteriorates and system complexity increases
Solution Approach 1:
The patent employs a tunable etalon that dynamically adjusts its transmission characteristics across multiple exposures. By varying the etalon's transmission profile in each exposure rather than using fixed compression patterns, the system captures spectral information more efficiently while maintaining snapshot capability, thereby improving light efficiency without sacrificing acquisition speed.
Solution Approach 2:
The system changes the transmission parameters of the etalon between exposures to capture different spectral weightings. This parameter variation allows the system to accumulate spectral information across multiple exposures with different transmission curves, improving overall light efficiency while maintaining fast snapshot acquisition through computational reconstruction.
2Measurement precision
If narrow transmission peaks are used in etalon, then spectral resolution is improved, but signal-to-noise ratio deteriorates
Solution Approach 1:
The system performs multiple periodic exposures with the etalon tuned to different transmission peaks. By accumulating spectral information across multiple exposures with different narrow transmission peaks, the system achieves high spectral resolution while improving the signal-to-noise ratio through temporal integration and computational reconstruction algorithms.
Solution Approach 2:
Instead of attempting to capture the entire spectrum in a single exposure with a wide peak, the system uses multiple exposures with partial spectral coverage (narrow peaks at different positions). This partial action approach allows each exposure to capture specific spectral regions with high resolution while the combination of all exposures provides complete spectral information with improved signal-to-noise ratio.
3Quantity of substance
If multiple spectral bands are traded for spatial resolution in integral field systems, then spectral information is improved, but spatial resolution deteriorates
Solution Approach 1:
The patent introduces the temporal dimension by using multiple exposures to capture spectral information. Instead of trading spatial resolution for spectral bands in a single snapshot, the system uses the time dimension to accumulate spectral data while maintaining full spatial resolution in each exposure. The spectral information is extracted through computational processing of the temporal sequence of images.
4Measurement precision
If prior knowledge of the scene is assumed in compressed sensing, then reconstruction accuracy is improved, but applicability to arbitrary scenes deteriorates
Solution Approach 1:
The system uses the scene's own spatial and temporal information to reconstruct the hyperspectral cube without requiring external prior knowledge. The reconstruction algorithms exploit the redundancy and correlations present in natural scenes across spectral bands and temporal frames, allowing the system to adapt to arbitrary scenes while maintaining reconstruction accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the acquisition of hyperspectral cubes with improved signal-to-noise ratio and reduced noise content, supporting accurate color imaging and reconstruction of spectral data across various scenarios, including UV/VIS/NIR, and can be integrated into various camera types.
Implementation Method 1
an etalon with a wide spectral range, e.g. a clear aperture Fabry-Perot etalon with wide transmission peak, placed in front of a pixel matrix of a detector
Data Source
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AI summary
A hyperspectral imaging system and method are presented for use in reconstruction of spectral data of an object. The system comprises: a pixel matrix of a detector; a tunable dispersive unit in front of the pixel matrix; and a control system. The control system comprises: a controller for tuning the dispersive unit during n image acquisition sessions to provide n different partially overlapping spectral transmission profiles of the dispersive unit; and a control unit which is in data communication with the detector and is configured and operable for processing n image data pieces generated by the pixel matrix in said n image acquisition sessions respectively, each being indicative of a spectral image detected by the pixel matrix and corresponding to the different spectral transmission profile of the dispersive unit, and determining the reconstructed spectral data of the object.