CIRCUITS AND TECHNIQUES FOR NOISE CONTROL IN DIGITAL IMAGING
    1.
    发明申请
    CIRCUITS AND TECHNIQUES FOR NOISE CONTROL IN DIGITAL IMAGING 审中-公开
    数字成像中噪声控制的电路和技术

    公开(公告)号:WO2016123225A1

    公开(公告)日:2016-08-04

    申请号:PCT/US2016/015138

    申请日:2016-01-27

    CPC classification number: H04N5/3577 H04N5/378

    Abstract: A regulated supply voltage can be established using switching cycles defined at least in part according to a switching clock period. Imaging information can be acquired from an imaging sensor and a discrete-time representation of the imaging information can be received. Noise, such as corresponding to the switching cycles, can be reduced or suppressed. In an example, a discrete-valued noise template can be stored in a memory, wherein a count of values in the noise template is less than a count of an entirety of a physical row of pixels from the imaging sensor. The discrete-valued noise template can be aligned with a portion of the discrete-time representation of the imaging information. The noise in the discrete-time representation can be at least partially canceled using the aligned discrete-valued noise template. The template can be constructed such as by aggregating imaging information obtained from an optically-black portion of the imaging sensor.

    Abstract translation: 可以使用至少部分地根据开关时钟周期定义的开关周期来建立稳定的电源电压。 可以从成像传感器获取成像信息,并且可以接收成像信息的离散时间表示。 可以减少或抑制诸如对应于开关周期的噪声。 在一个示例中,离散值噪声模板可以存储在存储器中,其中噪声模板中的值的计数小于来自成像传感器的整个物理行像素的计数。 离散值噪声模板可以与成像信息的离散时间表示的一部分对准。 可以使用对准的离散值噪声模板至少部分地消除离散时间表示中的噪声。 可以通过聚集从成像传感器的光学黑色部分获得的成像信息来构建模板。

    METHOD OF PROVIDING INTERFERENCE REDUCTION AND A DYNAMIC REGION OF INTEREST IN A LIDAR SYSTEM

    公开(公告)号:WO2018194721A1

    公开(公告)日:2018-10-25

    申请号:PCT/US2017/065392

    申请日:2017-12-08

    Abstract: A system and method for providing a dynamic region of interest in a lidar system can include scanning a light beam over a field of view to capture a first lidar image, identifying a first object within the captured first lidar image, selecting a first region of interest within the field of view that contains at least a portion of the identified first object, and capturing a second lidar image, where capturing the second lidar image includes scanning the light beam over the first region of interest at a first spatial sampling resolution, and scanning the light beam over the field of view outside of the first region of interest at a second spatial sampling resolution, wherein the second sampling resolution is different the first spatial sampling resolution.

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