Abstract: An apparatus comprising: a double path interferometer comprising a sample path for an object and a reference path; a source of linearly polarized light for the double path interferometer, a phase plate positioned in the sample path; means for superposing the sample path and reference path to create a beam of light for detection; means for spatially modulating the beam of light to produce a modulated beam of light; means for dispersing the modulated beam of light to produce a spatially modulated and dispersed beam of light; a first detector, a second detector, and means for splitting the spatially modulated and dispersed beam of light, wherein light of a first linear polarization is directed to the first detector and light of a second linear polarization, orthogonal to the first linear polarization, is directed to the second detector.

Abstract: Apparatus and method for detecting light, the apparatus comprising: means for splitting an input beam of light, which is obtained from an optical coherence tomography arrangement into at least a first and a second beam of light; means for modulating the first beam of light to provide a first modulated beam of light and means for modulating the second beam of light to provide a second modulated beam of light; means for dispersing the first modulated beam of light to provide a first dispersed beam of light and means for dispersing the second modulated beam of light to provide a second dispersed beam of light; means for detecting the first dispersed beam of light and means for detecting the second dispersed beam of light, the means for detecting being configured to convert the detected beams of light into electrical output signals.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: The present disclosure generally discloses a three-dimensional (3D) image reconstruction capability. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene based on lensless compressive image acquisition performed using a lensless compressive camera having a single aperture and a set of multiple sensors. The reconstructed 3D image of a scene may include (1) image data indicative of a set of multiple two-dimensional (2D) images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as images) and (2) depth information indicative of depths at points or areas of an overlapping portion of the multiple images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as a depth map).

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: A plurality of lighting elements is configured to selectively illuminate a scene during a plurality of time intervals. The plurality of lighting elements forms a different illumination pattern in each of the plurality of time intervals. One or more sensors are configured to measure a plurality of intensities of light received from the scene during the plurality of time intervals. A processor is configured to generate an image of the scene based on the plurality of intensities. In some cases, the plurality of lighting elements are switched on or off to produce different illumination patterns during a plurality of time intervals that too short to be perceptible to the human eye.

Abstract: A time-dependent aperture is configured to modulate light during an integration time interval. A first detector is configured to capture a first image of a scene during the integration time interval using light received from the time-dependent aperture. A second detector is configured to capture a second image of the scene concurrently with the first detector capturing the first image. A processor is configured to reconstruct a plurality of images of the scene based on the first image and the second image.

Abstract: A time-dependent aperture is configured to modulate light during an integration time interval. A first detector is configured to capture a first image of a scene during the integration time interval using light received from the time-dependent aperture. A second detector is configured to capture a second image of the scene concurrently with the first detector capturing the first image. A processor is configured to reconstruct a plurality of images of the scene based on the first image and the second image.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: The present disclosure generally discloses a three-dimensional (3D) image reconstruction capability. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene based on lensless compressive image acquisition performed using a lensless compressive camera having a single aperture and a set of multiple sensors. The reconstructed 3D image of a scene may include (1) image data indicative of a set of multiple two-dimensional (2D) images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as images) and (2) depth information indicative of depths at points or areas of an overlapping portion of the multiple images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as a depth map).

Abstract: A plurality of lighting elements is configured to selectively illuminate a scene during a plurality of time intervals. The plurality of lighting elements forms a different illumination pattern in each of the plurality of time intervals. One or more sensors are configured to measure a plurality of intensities of light received from the scene during the plurality of time intervals. A processor is configured to generate an image of the scene based on the plurality of intensities. In some cases, the plurality of lighting elements are switched on or off to produce different illumination patterns during a plurality of time intervals that too short to be perceptible to the human eye.

Abstract: The present disclosure generally discloses block-based lensless compressive image acquisition capabilities. The block-based lensless compressive image acquisition capabilities may include a block-based lensless camera. The block-based lensless camera may include a set of two or more image acquisition block configured to capture respective sets of image data (e.g., detector outputs or compressive measurements produced from detector outputs) for respective image portions of an image to be captured by the block-based lensless camera. The blocks of a block-based lensless camera may each include an aperture including a set of aperture elements, a sensor, and an isolation chamber disposed between the aperture and the sensor for directing light from the aperture to the sensor while preventing comingling of light of the block and light of other blocks.

Abstract: Method and apparatus for aggregating spectrum in which multiple disjoint blocks of spectrum may be configured as one virtual contiguous block of spectrum by modulating onto each disjoint blocks of spectrum a respective portion of a data stream in which the data rate associated with the modulated portion is compatible with the available bandwidth of the disjoint spectrum block upon which is modulated.

Abstract: The present invention relates to method and apparatus for arbitrary resolution video coding using compressive measurements. The method includes receiving at least one measurement of a set of measurements that was generated at an encoder. The set of measurements represents encoded video data. The method further includes determining a display resolution, where the display resolution is the same or different than an original display resolution. The method further includes determining an expansion matrix based on at least a number of pixels for the determined display resolution, and reconstructing the video data using the determined expansion matrix such that the original display resolution is resized to the determined display resolution if the determined display resolution is different than the original display resolution. The expansion matrix includes a pattern of values.

Abstract: In a method for controlling congestion within a cell of a wireless network providing mobile HTTP adaptive streaming (HAS), a mobile HAS client in the cell delays a request for a next HAS segment of a HAS media stream for a delay time interval in response to a notification of congestion within the cell. The mobile HAS client calculates a reduced bitrate for the next HAS segment, and requests the next HAS segment at the reduced bitrate after expiration of the delay time interval. The reduced bitrate is reduced relative to a bitrate for a previous HAS segment of the HAS media stream.

Abstract: Embodiments relate to a method and apparatus for super resolution video coding using compressive measurements. The method includes receiving, by a decoder, a set of measurements, where the set of measurements represents encoded video data having original video data with an original display resolution. The method further includes determining, by the decoder, a display resolution, where the display resolution is higher than the original display resolution, and determining a reduction matrix based on at least a number of pixels for the determined display resolution, where the reduction matrix includes a pattern of values. The method further includes reconstructing, by the decoder, the video data or a portion of the video data using the determined reduction matrix and the received set of measurements such that the original display resolution is enlarged to the determined display resolution.

Abstract: An exemplary system includes at least one detector configured to provide an output based on a detected input. A plurality of input control elements control the input detected by the detector. A processor is configured to determine at least one point spread function based on a condition of the detector, a condition of the input control elements and a selected distance associated with the output.

Abstract: Systems, structures, devices and methods for lensless compressive image acquisition are disclosed herein with which images may be obtained from a single detection element while performing fewer times than a number of pixels associated with the image. Advantageously such systems, structures, devices and methods may be adapted to acquiring images at wavelengths that are difficult or impossible with contemporary CCD or CMOS imagers.

Abstract: A multimedia transceiver apparatus continuously generates a model of a video scene, and then uses the generated model to estimate missing sections (e.g., image frames) of the video stream by morphing and/or modifying available uncorrupted video data based on the model. By estimating the missing sections, the subjective quality of video under error conditions (e.g., image frame loss, image frame corruption, video signal interruption, etc.) is improved.