Physics-Informed Imaging: Lensless Cameras & Low-Light Videography

Related lectures (32)

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Compares diffusive noise and escape noise in neuronal dynamics, focusing on simulation and calculation complexity.

Covers noise sources in CCD cameras, focusing on reset noise, readout noise, and methods for noise suppression like correlated double sampling.

Introduces the fundamentals of noise in electronics, covering origins, signal types, power characteristics, and noise sources.

Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

Explores electrical metrology, emphasizing noise and signal analysis, covering topics such as charges, currents, voltages, and various noise sources.

Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.

Explores noise effects in MOS transistors at RF, addressing thermal noise models and velocity saturation impacts.

Explores optical image sensors, their history, architecture, specifications, and noise suppression techniques.

Covers the physical noise analysis in high-speed photodetectors, focusing on signal-to-noise ratios and various noise sources affecting performance.