Compressed Optical-Streaking Imaging for Ultra-High-Speed Transient Capture
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Solution Overview
Problem
Existing ultra-high-speed imaging methods struggle to simultaneously achieve high frame rates, sequence depth, and pixel count, limiting their effectiveness in capturing transient events.
Innovation Solution
A single-shot compressed optical-streaking ultra-high-speed imaging system that combines spatial encoding with a galvanometer scanner for temporal shearing, using a CMOS camera to capture the streak image in a single exposure, allowing for reconstruction of the transient event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If computational imaging methods (P2C2, CACTI) are used to increase pixel count to over one megapixel per frame, then spatial resolution is improved, but imaging speed is limited to several thousand frames per second due to refreshing rate of spatial light modulation and moving speed of piezoelectric stage
Solution Approach 1:
The patent replaces the mechanical piezoelectric stage with a galvanometer scanner that uses electromagnetic fields to deflect a light beam. This substitution eliminates the mechanical moving parts that limited the previous system's speed, enabling imaging speeds of up to 1.5 million frames per second while maintaining high pixel count through compressed sensing.
Solution Approach 2:
The patent changes the fundamental imaging parameter from capturing complete frames at lower speeds to using compressed sensing with temporal shearing. By encoding spatial information and shearing it temporally, the system achieves both high pixel count and ultra-high imaging speed, surpassing the previous trade-off between these parameters.
2Speed
If passive-detection methods use receive-only ultra-high-speed detectors to record photons from transient scenes, then imaging speed is improved, but the structure becomes bulky and complicated or sequence depth and pixel count are limited
Solution Approach 1:
The patent merges spatial encoding, temporal shearing, and compressed sensing into a unified imaging approach. By combining these techniques, the system achieves ultra-high imaging speed with a simplified structure that does not require bulky mechanical components, while simultaneously providing high sequence depth and pixel count through computational reconstruction.
3Speed
If MA-CS CMOS camera is used to achieve ultra-high-speed imaging, then imaging speed is improved, but pixel count is limited to 64×108 with sequence depth of 32
Solution Approach 1:
The patent introduces temporal shearing as an additional dimension to the imaging process. By shearing the encoded frames temporally and capturing them in a single exposure, the system effectively increases the usable pixel count beyond the camera's native resolution while maintaining ultra-high imaging speed and achieving a sequence depth of 500 frames.
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
The system achieves tunable imaging speeds of up to 1.5 Mfps, a sequence depth of 500 frames, and a pixel count of 0.5 megapixels per frame, significantly surpassing the limitations of current technologies.
Implementation Method 1
the spatial encoding module is configured for spatially encoding the transient event with a binary pseudo-random pattern, yielding spatially encoded frames
Implementation Method 2
the galvanometer scanner temporally shearing the spatially encoded frames of the transient event
Implementation Method 3
a galvanometer scanner
Implementation Method 4
the CMOS camera receiving the temporally sheared spatially encoded frames, in one exposure of the camera, for reconstructing the transient event
Data Source
AI summary
A system and a method for single-shot compressed optical-streaking ultra-high-speed imaging, the system comprising a spatial encoding module spatially encoding the transient event with a binary pseudo-random pattern into spatially encoded frames; a galvanometer scanner temporally shearing the spatially encoded frames; and a CMOS camera receiving the temporally sheared spatially encoded frames, during one exposure time of the camera, for reconstructing the transient event. The method comprises spatial encoding a transient event; temporal shearing resulting spatially encoded frames of the event, spatio-temporal integration, and reconstruction.