Abstract: A method for photon counting including the steps of collecting light emitted or reflected/scattered from an object; imaging the object onto a spatial light modulator, applying a series of pseudo-random modulation patterns to the SLM according to standard compressive-sensing theory, collecting the modulated light onto a photon-counting detector, recording the number of photons received for each pattern (by photon counting) and optionally the time of arrival of the received photons, and recovering the spatial distribution of the received photons by the algorithms of compressive sensing (CS).

Abstract: A new digital image/video camera that directly acquires random projections of the incident light field without first collecting the pixels/voxels. In one preferred embodiment, the camera employs a digital micromirror array to perform optical calculations of linear projections of an image onto pseudorandom binary patterns. Its hallmarks include the ability to obtain an image with only a single detection element while measuring the image/video fewer times than the number of pixels or voxels—this can significantly reduce the computation required for image/video acquisition/encoding. Since the system features a single photon detector, it can also be adapted to image at wavelengths that are currently impossible with conventional CCD and CMOS imagers.

Abstract: A method and apparatus for new digital image/video camera that directly acquires random projections of the incident light field without first collecting the pixels/voxels and has a startle reflex. The startle reflex is achieved by collecting a training set of samples while operating the imaging device at the low sampling rate, computing an empirical probability distribution of the training set of samples, collecting a testing set of samples while operating the imaging device at the low sampling rate, computing an empirical probability distribution of the testing set of samples, computing an empirical entropy test statistic, and capturing an image at the high sampling rate in response to the computed empirical entropy statistic exceeding a threshold.

Abstract: A message driven processor operates as middleware between clients and back-end hosts or servers in a large client-server system to reduce the number of concurrent sessions required to be supported by the network and to allow a common client user interface to divergent back-end systems. High level requests from a client in support of a business function are translated into workflows which may involve multiple requests to back-end servers by the message driven processor. Information resulting from workflows and information retrieved from back-end servers may be integrated into a single reply message to the requesting client.

Abstract: A message driven processor operates as middleware between clients and back-end hosts or servers in a large client-server system to reduce the number of concurrent sessions required to be supported by the network and to allow a common client user interface to divergent back-end systems. High level requests from a client in support of a business function are translated into workflows which may involve multiple requests to back-end servers by the message driven processor. Information resulting from workflows and information retrieved from back-end servers may be integrated into a single reply message to the requesting client.