100,000 frames-per-second compressive imaging with a conventional rolling-shutter camera by random point-spread-function engineering
Gil Weinberg, Ori Katz
Abstract
We demonstrate an approach that allows taking videos at very high frame-rates of over 100,000 frames per second by exploiting the fast sampling rate of the standard rolling-shutter readout mechanism, common to most conventional sensors, and a compressive-sampling acquisition scheme. Our approach is directly applied to a conventional imaging system by the simple addition of a diffuser to the pupil plane that randomly encodes the entire field-of-view to each camera row, while maintaining diffraction-limited resolution. A short video is reconstructed from a single camera frame via a compressed-sensing reconstruction algorithm, exploiting the inherent sparsity of the imaged scene.
Topics & Concepts
OpticsComputer scienceComputer visionArtificial intelligenceFrame rateDiffuser (optics)Compressed sensingIterative reconstructionFrame (networking)Sampling (signal processing)PupilCoded apertureImage processingDigital micromirror deviceBeam splitterPlane (geometry)Spectral imagingPhysicsImage qualityComputer graphics (images)Sample (material)Spatial frequencyData acquisitionImage sensorSparse and Compressive Sensing TechniquesRandom lasers and scattering mediaAdvanced Optical Sensing Technologies