Nokia of America Corporation

Nokia Technologies Oy

Battelle Memorial Institute

Pantech Corporation

Xin Yuan

Paul Albin Wilford

Raziel Haimi-Cohen

Hong Jiang

Gang Huang

Xuan Liu

Libor Kovarik

Nigel D Browning

Andrew J Stevens

Lawrence L Carin

Andrey V Liyu

Victor Yu

Mu Qiao

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.

Apparatus, systems and methods for detecting light

Described are a method, apparatus and computer program product are provided for block modulating video and image compression. Different masks may be imposed on different blocks of an image and then the blocks summed to one block. In some embodiments, an encoder complexity of the encoder may be O(1). A method can be carried out that includes dividing an input image into a plurality of blocks; assigning different masks to each respective image block of the plurality of image blocks, the different masks having a size equal to that of each respective image block of the plurality of image blocks; modulating each respective image block of the plurality of blocks the assigned different masks to generate a plurality of modulated image blocks; summing the modulated plurality of blocks to at least one summed block; and quantizing the at least one summed block.

Block modulating video and image compression codecs, associated methods, and computer program products for carrying out the same

Described herein are an apparatus, system, and method for detecting light. An apparatus can include means for modulating an input beam of light wherein the input beam of light is obtained from an optical coherence tomography arrangement; means for dispersing the modulated beam of light; and means for detecting the dispersed beam of light and converting the detected beam of light into an electrical output signal. An apparatus can include a modulator configured to spatially modulate light; a dispersing element configured to disperse modulated light, and a detector configured to detect dispersed light and convert the detected light into electrical output signals. A method can include spatially modulating a beam of light, dispersing the modulated beam of light, detecting the dispersed beam of light, converting the detecting beam of light into electrical output signals, and providing a three-dimensional image of at least a part of an object.

Apparatus, systems, and methods for detecting light

An encoder determines a compression ratio for compressive sensing and a quantization level used to quantize a media signal based on a target indicator. The encoder accesses compressive sensing measurements performed using the compression ratio and quantizes the compressive sensing measurements based on the quantization level. A decoder receives a compressed signal generated from the signal acquired by the signal acquisition device using the compression ratio and the quantization level. The decoder also receives information indicating the compression ratio or the quantization level. The decoder decompresses the compressed signal based on the compression ratio and the quantization level.

Compressive sensing with joint signal compression and quality control

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.

Protecting personal privacy in a video monitoring system

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).

3D image reconstruction based on lensless compressive image acquisition

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.

Compressive imaging using structured illumination

Transmission microscopy imaging systems include a mask and/or other modulator situated to encode image beams, e.g., by deflecting the image beam with respect to the mask and/or sensor. The beam is modulated/masked either before or after transmission through a sample to induce a spatially and/or temporally encoded signal by modifying any of the beam/image components including the phase/coherence, intensity, or position of the beam at the sensor. For example, a mask can be placed/translated through the beam so that several masked beams are received by a sensor during a single sensor integration time. Images associated with multiple mask displacements are then used to reconstruct a video sequence using a compressive sensing method. Another example of masked modulation involves a mechanism for phase-retrieval, whereby the beam is modulated by a set of different masks in the image plane and each masked image is recorded in the diffraction plane.

Compressive transmission microscopy

In an example embodiment, a motion capturing device includes a mask configured to rotate during capture of a scene by the motion capturing device and modulate the scene; and a motor coupled to the mask and configured to rotate the mask during the capturing of the scene.

Systems and methods for video compressive sensing using a rotating mask

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.

Growing community of inventors

New Providence, NJ, United States of America

Xin Yuan