Carry the Two Emerging Technologies Episode 5: Computation Imaging
Sep 25, 2025
Join experts Rebecca Willett, a computational imaging innovator, Stanley Chan, a long-distance optics specialist, and David Lindell, a high-speed imaging pioneer. They dive into how phone cameras rectify distortions and the challenge of restoring blurry images without original sensors. Discover the intricacies of adaptive optics for clear long-distance imaging and the impressive capabilities of single-photon detectors. They also explore future imaging frontiers, showcasing how new technologies can capture phenomena at staggering speeds, even light propagation!
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Adaptive Optics Pre-Compensate Phase
- Adaptive optics measure wavefront phase and use deformable mirrors to pre-compensate distortions.
- Chan likens the process to optometrists prescribing lenses that counteract phase delays.
No Reference Points, No Wavefront Sensors
- Ground-to-ground long-distance imaging lacks reference points and demands speed, making adaptive optics impractical.
- This motivates computational phase-retrieval from intensity-only measurements.
Image Structure Enables Phase Retrieval
- Phase retrieval seeks unseen phase from intensity-only data by exploiting image structure and correlations.
- Chan explains that natural image correlations let us infer phase despite infinite raw possibilities.