Adaptive bilateral (BL) filtering for computer vision

    公开(公告)号:US10891717B2

    公开(公告)日:2021-01-12

    申请号:US16178200

    申请日:2018-11-01

    Abstract: A method for filtering noise for imaging includes receiving an image frame having position and range data. A filter size divides the frame into filter windows for processing each of the filter windows. For the first pixel, a space to the center pixel and a range difference between this pixel and the center pixel is determined and used for choosing a selected weight from weights in a 2D weight LUT including weighting for space and range difference, a filtered range value is calculated by applying the selected 2D weight to the pixel, and the range, filtered range value and selected 2D weight are summed. The determining, choosing, calculating and summing are repeated for at least the second pixel. A total sum of contributions from the first and second pixel are divided by the sum of selected 2D weights to generate a final filtered range value for the center pixel.

    Adaptive bilateral (BL) filtering for computer vision

    公开(公告)号:US10121231B2

    公开(公告)日:2018-11-06

    申请号:US15183459

    申请日:2016-06-15

    Abstract: A method for filtering noise for imaging includes receiving an image frame having position and range data. A filter size divides the frame into filter windows for processing each of the filter windows. For the first pixel, a space to the center pixel and a range difference between this pixel and the center pixel is determined and used for choosing a selected weight from weights in a 2D weight LUT including weighting for space and range difference, a filtered range value is calculated by applying the selected 2D weight to the pixel, and the range, filtered range value and selected 2D weight are summed. The determining, choosing, calculating and summing are repeated for at least the second pixel. A total sum of contributions from the first and second pixel are divided by the sum of selected 2D weights to generate a final filtered range value for the center pixel.

    FUNCTIONAL SAFETY SYSTEMS AND METHODS FOR SECURE ACCESS TO NON-VOLATILE MEMORY

    公开(公告)号:US20250147674A1

    公开(公告)日:2025-05-08

    申请号:US18790153

    申请日:2024-07-31

    Abstract: Various examples disclosed herein relate to controlling access to non-volatile memory devices. In an example embodiment, a device is provided. The device includes a memory security controller configured to operate in a first functional safety mode or a second functional safety mode, a security mode selection controller coupled to the memory security controller, and a memory interface controller coupled to the memory security controller and the security mode selection controller and configured to couple to a non-volatile memory. The security mode selection controller is configured to determine a number of pending access requests associated with the memory security controller, determine a number of incoming responses from the non-volatile memory to the memory security controller, and select between the first functional safety mode and the second functional safety mode based on at least one of the number of pending access requests or the number of incoming responses.

    ADAPTIVE BILATERAL (BL) FILTERING FOR COMPUTER VISION

    公开(公告)号:US20190130534A1

    公开(公告)日:2019-05-02

    申请号:US16178200

    申请日:2018-11-01

    Abstract: A method for filtering noise for imaging includes receiving an image frame having position and range data. A filter size divides the frame into filter windows for processing each of the filter windows. For the first pixel, a space to the center pixel and a range difference between this pixel and the center pixel is determined and used for choosing a selected weight from weights in a 2D weight LUT including weighting for space and range difference, a filtered range value is calculated by applying the selected 2D weight to the pixel, and the range, filtered range value and selected 2D weight are summed. The determining, choosing, calculating and summing are repeated for at least the second pixel. A total sum of contributions from the first and second pixel are divided by the sum of selected 2D weights to generate a final filtered range value for the center pixel.

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