Hyperspectral Infrared Camera Reconstruction for Faster Dynamic Imaging

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Solution Overview

Problem

Hyperspectral imaging systems are limited by acquisition time and prone to motion artifacts in dynamic scenes, affecting performance and resolution.

Innovation Solution

A hyperspectral infrared imaging system utilizing a multi-color focal plane array, readout electronics, control electronics, and computing system, employs compressed sensing and inpainting to under-sample data and reconstruct a full dataset computationally, optimizing acquisition time and reducing motion artifacts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If scanning acquisition method is used to build hyperspectral data cube, then spectral information can be collected at every pixel, but acquisition time increases and motion artifacts occur in dynamic scenes

Engineering Contradiction:

Improvespectral resolutionVSAvoidacquisition time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by acquiring only a subset of spectral wavelengths at each pixel rather than the complete spectrum. Compressed sensing algorithms then reconstruct the full spectral information from these partial measurements, significantly reducing acquisition time while maintaining spectral resolution through computational methods.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent replaces the mechanical scanning acquisition system with a computational approach. Instead of physically scanning through all spectral components, the system uses compressed sensing mathematics to reconstruct the complete hyperspectral data cube from undersampled measurements, eliminating motion artifacts caused by mechanical scanning in dynamic scenes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of time

If pixel elimination (inpainting) is applied to reduce data acquisition, then acquisition time decreases, but image quality may be degraded

Engineering Contradiction:

Improveacquisition timeVSAvoidimage quality

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The patent employs feedback through iterative compressed sensing reconstruction algorithms that use the acquired partial spectral information to reconstruct missing data. The algorithm continuously refines the reconstruction by comparing expected spectral signatures with actual measurements, feedbacking corrections to improve image quality while maintaining reduced acquisition time.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent creates a composite approach by combining sparse physical measurements with computational reconstruction. The final hyperspectral image is a composite of directly acquired pixel data and algorithmically reconstructed data, achieving both time efficiency and image quality through this hybrid method.

Inventive Principle:

Principle #40Composite materials

Data Source

PatentUS12532085B2Computational high-speed hyperspectral infrared camera system

Publication Date: 2026.01.20 SIVANANTHAN LABORATORIES INC

AI summary

A hyperspectral infrared imaging system includes optical components, multi-color focal plane array or arrays, readout electronics, control electronics, and a computing system. The system measures a limited number of spatial and spectral points during image capture and the full dataset is computationally generated.