TDI-based continuous window compressed spatio-temporal imaging capable of flexible voxels post-interpretation.

Area of Science:

• Optics and Photonics
• Image Processing
• Sensor Technology

Background:

• Existing imaging modalities struggle to balance high frame rates with continuous streaming.
• Conventional methods often require complex optical coding and calibration, increasing hardware bulk and fragility.

Purpose of the Study:

• To develop a compressed spatio-temporal imaging framework enabling simultaneous high frame rates and continuous streaming.
• To introduce an electronic-domain modulation technique for a more compact and robust imaging system.
• To achieve super-resolution in both temporal and spatial domains for significantly increased frame rates.

Main Methods:

• Integration of time-delay-integration sensors with coded exposure for electronic-domain modulation.
• Exploitation of the intra-line charge transfer mechanism for enhanced temporal and spatial resolution.
• Development of a forward model with tunable coefficients and two reconstruction strategies for flexible voxel interpretation.

Main Results:

• Achieved frame rates in the millions of frames-per-second, multiplying conventional rates.
• Demonstrated a compact and robust hardware structure without external optical coding elements.
• Validated the framework's effectiveness through numerical simulations and proof-of-concept experiments.

Conclusions:

• The proposed compressed imaging framework offers a novel solution for high-speed, continuous data acquisition.
• The system's advantages include a prolonged time window and flexible voxel interpretation, suitable for imaging random, non-repetitive, or long-term events.
• This electronic-domain approach advances imaging capabilities in scientific and industrial applications requiring ultra-high frame rates.