Quad-Bayer Demosaicing Using a Machine-Learning Model

    公开(公告)号:US20250045866A1

    公开(公告)日:2025-02-06

    申请号:US18365540

    申请日:2023-08-04

    Abstract: In one embodiment, a method by a computing system associated with an image sensor including a quad-Bayer color filter array includes accessing image-sensor data generated by the image sensor, where the quad-Bayer color filter array comprises sixteen sets of filters, each corresponding to a pixel location within a quad-Bayer pattern, splitting the image-sensor data into sixteen packed channels, where each of the sixteen packed channels corresponds to one of the sixteen sets of filters, producing three channels of interpolated pixels by processing the sixteen packed channels using a machine-learning model, where the three channels comprise red, green, and blue channels, and constructing an output image using the three channels of the interpolated pixels.

    CASCADED SIGNAL SELECTION
    4.
    发明申请

    公开(公告)号:US20250138880A1

    公开(公告)日:2025-05-01

    申请号:US18925225

    申请日:2024-10-24

    Abstract: A method for signal processing includes receiving a definition associated with a task, and based on the definition, selecting a first sensor modality having a first operational cost from multiple sensor modalities each associated with respective operational costs. The method further includes capturing a first sensor signal using the first sensor modality, and making a first determination that the first sensor signal is not sufficient to perform the task. The method further includes selecting, from the sensor modalities, a second sensor modality having a second operational cost, the second operational cost being higher than the first operational cost and capturing a second sensor signal using the second sensor modality. The method further includes making a second determination that the second sensor signal may be used to perform the task and using the second sensor signal to perform the task.

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