COMPOSITE IMAGE SIGNAL PROCESSOR
    1.
    发明申请

    公开(公告)号:US20220408012A1

    公开(公告)日:2022-12-22

    申请号:US17351967

    申请日:2021-06-18

    Abstract: Systems and techniques are described for image processing. An imaging system can include an image sensor that captures image data. An image signal processor (ISP) of the imaging system can demosaic the image data. The imaging system can input the image data into one or more trained machine learning models, in some cases along with metadata associated with the image data. The one or more trained machine learning models can output settings for a set of parameters of the ISP based on the image data and/or the metadata. The imaging system can generate an output image by processing the image data using the ISP, with the parameters of the ISP set according to the settings. Each pixel of the pixels of the image data can be processed using a respective setting for adjusting a corresponding parameter. The parameters of the ISP can include gain, offset, gamma, and Gaussian filtering.

    COMPOSITE IMAGE SIGNAL PROCESSOR
    2.
    发明公开

    公开(公告)号:US20230388623A1

    公开(公告)日:2023-11-30

    申请号:US18447978

    申请日:2023-08-10

    CPC classification number: H04N23/62 G06T3/4015 H04N23/80

    Abstract: Systems and techniques are described for image processing. An imaging system can include an image sensor that captures image data. An image signal processor (ISP) of the imaging system can demosaic the image data. The imaging system can input the image data into one or more trained machine learning models, in some cases along with metadata associated with the image data. The one or more trained machine learning models can output settings for a set of parameters of the ISP based on the image data and/or the metadata. The imaging system can generate an output image by processing the image data using the ISP, with the parameters of the ISP set according to the settings. Each pixel of the pixels of the image data can be processed using a respective setting for adjusting a corresponding parameter. The parameters of the ISP can include gain, offset, gamma, and Gaussian filtering.

    DEPTH-EVENT CAMERA
    3.
    发明申请

    公开(公告)号:US20240427018A1

    公开(公告)日:2024-12-26

    申请号:US18340675

    申请日:2023-06-23

    Abstract: Systems and techniques are described herein for determining changes in distance. For instance, an apparatus for determining changes in distance is provided. The apparatus may include an electromagnetic (EM)-radiation emitter configured to emit EM radiation toward an environment; a detector configured to receive reflected EM radiation from the environment; phase-calculation circuitry configured to calculate a phase-difference value indicative of a difference between a phase of the emitted EM radiation and a phase of the reflected EM radiation; and differencing circuitry configured to trigger an event responsive to a difference between a current phase-difference value and a prior phase-difference value exceeding a threshold.

    MACHINE LEARNING BASED IMAGE ADJUSTMENT

    公开(公告)号:US20210360179A1

    公开(公告)日:2021-11-18

    申请号:US17316567

    申请日:2021-05-10

    Abstract: An imaging system can obtain image data, for instance from an image sensor. The imaging system can supply the image data as input data to a machine learning system, which can generate one or more maps based on the image data. Each map can identify strengths at which a certain image processing function is to be applied to each pixel of the image data. Different maps can be generated for different image processing functions, such as noise reduction, sharpening, or color saturation. The imaging system can generate a modified image based on the image data and the one or more maps, for instance by applying each of one or more image processing functions in accordance with each of the one or more maps. The imaging system can supply the image data and the one or more maps to a second machine learning system to generate the modified image.

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