Abstract:
A system and a method are disclosed to approximately calculate a mathematical function using a digital processing device. An acceleration function is performed on at least one operand for a mathematical function. The acceleration function includes a predetermined sequence of addition operations that approximate the mathematical function in which the mathematical function may be a base-2 logarithm, a power of 2, a multiplication, an inverse square root, an inverse, a division, a square root, and an arctangent. The predetermined sequence of addition operations may include a first predetermined number of additions of integer-formatted operands and a second predetermined number of additions of floating-point-formatted operands in which the additions of integer-formatted operands and additions of floating-point-formatted operands can occur in any order.
Abstract:
A method is disclosed to determine a traveling time for a plurality of received light pulses that reflected and returned from an object. Each returned light pulse is associated with a timestamp indicating a time between a transmission time of a corresponding light pulse and a time of arrival of the returned light pulse. For each timestamp, a number C is determined of time stamps that are subsequent to the timestamp and within a predetermined time window after the timestamp. A maximum number C is determined, and an index i is determined for the maximum number C. A traveling time is determined for the plurality of light pulses as an average of the timestamp having a same index as the maximum number C and timestamps that are within the predetermined time window after the timestamp having the same index as the maximum number C.
Abstract:
A client device configured with a neural network includes a processor, a memory, a user interface, a communications interface, a power supply and an input device, wherein the memory includes a trained neural network received from a server system that has trained and configured the neural network for the client device. A server system and a method of training a neural network are disclosed.
Abstract:
A method for training a neural network to perform assessments of image quality is provided. The method includes: inputting into the neural network at least one set of images, each set including an image and at least one degraded version of the image; performing comparative ranking of each image in the at least one set of images; and training the neural network with the ranking information. A neural network and image signal processing tuning system are disclosed.
Abstract:
Pixels of an array capture values for an input image. The captured values correspond to pixel center points of the pixels that captured the values. Additional values about the input image may be further computed from the captured values. These additional values may correspond to additional center points, which can be different from any of the pixel center points. An output image may be constructed from the captured values plus the additional values. These values may be stored together and/or displayed together as the output image. Embodiments are applicable to images such as from multi-layer sensors. Since the output image can be created from a higher total number of values than those captured by the available number of pixels, such image processing can be called super-resolution, and can be applied to image processing within imaging devices, for still pictures, video and motion pictures, and so on.
Abstract:
A device, comprising a plurality of pixel arrays. Two or more pixel arrays are stacked in overlapping fashion and rotated. Optionally, one or more of the pixel arrays are shifted with respect to others. As a result, the horizontal and vertical Nyquist spatial sampling frequency limits are increased, thus permitting an increase in image resolution, for example in terms of line pairs that can be resolved, without reducing the pixel size. Certain stacked pixel pattern arrangement can also be read out as Bayer color pattern for processing by traditional Bayer image signal processors.
Abstract:
A system and a method are disclosed for a structured-light system to estimate depth in an image. An image is received in which the image is of a scene onto which a reference light pattern has been projected. The projection of the reference light pattern includes a predetermined number of particular sub-patterns. A patch of the received image and a sub-pattern of the reference light pattern are matched based on either a hardcode template matching technique or a probability that the patch corresponds to the sub-pattern. If a lookup table is used, the table may be a probability matrix, may contain precomputed correlations scores or may contain precomputed class IDs. An estimate of depth of the patch is determined based on a disparity between the patch and the sub-pattern.
Abstract:
An image sensor includes a time-resolving sensor and a processor. The time-resolving sensor outputs a first signal and a second signal pair in response detecting one or more photons that have been reflected from an object. A first ratio of a magnitude of the first signal to a sum of the magnitude of the first signal and a magnitude of the second signal is proportional to a time of flight of the one or more detected photons. A second ratio of the magnitude of the second signal to the sum of the magnitude of the first signal and the magnitude of the second signal is proportional to the time of flight of the one or more detected photons. The processor determines a surface reflectance of the object where the light pulse has been reflected based on the first signal and the second signal pair and may generate a grayscale image.
Abstract:
A Time-of-Flight (TOF) technique is combined with analog amplitude modulation within each pixel in a pixel array using multiple Single Photon Avalanche Diodes (SPADs) in conjunction with a single Pinned Photo Diode (PPD) in each pixel. A SPAD may be shared among multiple neighboring pixels. The TOF information is added to the received light signal by the analog domain-based single-ended to differential converter inside the pixel itself. The spatial-temporal correlation among outputs of multiple, adjacent SPADs in a pixel is used to control the operation of the PPD to facilitate recording of TOF values and range of an object. Erroneous range measurements due to ambient light are prevented by stopping the charge transfer from the PPD—and, hence, recording a TOF value—only when two or more SPADs in the pixel are triggered within a pre-defined time interval. An autonomous navigation system with multi-SPAD pixels provides improved vision for drivers under difficult driving conditions.
Abstract:
A method is disclosed to determine a traveling time for a plurality of received light pulses that reflected and returned from an object. Each returned light pulse is associated with a timestamp indicating a time between a transmission time of a corresponding light pulse and a time of arrival of the returned light pulse. For each timestamp, a number C is determined of time stamps that are subsequent to the timestamp and within a predetermined time window after the timestamp. A maximum number C is determined, and an index i is determined for the maximum number C. A traveling time is determined for the plurality of light pulses as an average of the timestamp having a same index as the maximum number C and timestamps that are within the predetermined time window after the timestamp having the same index as the maximum number C.