TONE MAPPING VIA DYNAMIC HISTOGRAM MATCHING

    公开(公告)号:US20240404011A1

    公开(公告)日:2024-12-05

    申请号:US18325437

    申请日:2023-05-30

    Abstract: A system for facilitating tone mapping is configurable to (i) generate an input image histogram based on one or more input images, the input image histogram comprising a plurality of bins, wherein each bin of the plurality of bins is associated with one or more pixel values and indicates a quantity of pixels that comprise the one or more pixel values; (ii) generate a target histogram based at least on the input image histogram; and (iii) generate an output image by using the target histogram to map pixel values of at least one of the one or more input images to corresponding pixel values in the output image.

    SYSTEMS AND METHODS FOR DARK CURRENT COMPENSATION IN SINGLE PHOTON AVALANCHE DIODE IMAGERY

    公开(公告)号:US20240251182A1

    公开(公告)日:2024-07-25

    申请号:US18596359

    申请日:2024-03-05

    CPC classification number: H04N25/63 G06T3/40 H04N25/46

    Abstract: A system for dark current compensation in SPAD imagery is configurable to capture an image frame with the SPAD array and generate a temporally filtered image by performing a temporal filtering operation using the image frame and at least one preceding image frame. The at least one preceding image frame is captured by the SPAD array at a timepoint that temporally precedes a timepoint associated with the image frame. The system is also configurable to obtain a dark current image frame. The dark current image frame includes data indicating one or more SPAD pixels of the plurality of SPAD pixels that detect an avalanche event without detecting a corresponding photon. The system is also configurable to generate a dark current compensated image by performing a subtraction operation on the temporally filtered image or the image frame based on the dark current image frame.

    RAPID TARGET ACQUISITION USING GRAVITY AND NORTH VECTORS

    公开(公告)号:US20230260204A1

    公开(公告)日:2023-08-17

    申请号:US18128322

    申请日:2023-03-30

    CPC classification number: G06T15/205 G06T7/33 G06T7/97

    Abstract: Techniques for aligning images generated by two cameras are disclosed. This alignment is performed by computing a relative 3D orientation between the two cameras. A first gravity vector for a first camera and a second gravity vector for a second camera are determined. A first camera image is obtained from the first camera, and a second camera image is obtained from the second camera. A first alignment process is performed to partially align the first camera’s orientation with the second camera’s orientation. This process is performed by aligning the gravity vectors, thereby resulting in two degrees of freedom of the relative 3D orientation being eliminated. Visual correspondences between the two images are identified. A second alignment process is performed to fully align the orientations. This process is performed by using the identified visual correspondences to identify and eliminate a third degree of freedom of the relative 3D orientation.

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