Local memory use for perspective transform engine

    公开(公告)号:US11875047B2

    公开(公告)日:2024-01-16

    申请号:US18084635

    申请日:2022-12-20

    CPC classification number: G06F3/0631 G06F3/0604 G06F3/0673 G06F13/28

    Abstract: An integrated circuit includes: a local memory; and a first processing circuit coupled to the local memory. The first processing component is configured to: receive a first set of image data; perform a first image processing operation on the first set of image data to produce a second set of image data; and store at least some of the second set of image data into the local memory. The integrated circuit also includes a second processing circuit coupled to the local memory and configured to: receive at least some of the second set of image data from the local memory; and perform a second image processing operation on the second set of image data to produce a third set of image data.

    DENSE OPTICAL FLOW PROCESSING IN A COMPUTER VISION SYSTEM

    公开(公告)号:US20220084215A1

    公开(公告)日:2022-03-17

    申请号:US17533256

    申请日:2021-11-23

    Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

    Dense optical flow processing in a computer vision system

    公开(公告)号:US11182908B2

    公开(公告)日:2021-11-23

    申请号:US16585333

    申请日:2019-09-27

    Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

    Efficient and flexible color processor

    公开(公告)号:US11172172B2

    公开(公告)日:2021-11-09

    申请号:US15395001

    申请日:2016-12-30

    Abstract: An image signal processor includes a first matrix processing circuit, a post processing circuit, a second matrix processing circuit, and a split visual and analytics circuit. The first matrix processing circuit is configured to receive a plurality of component images generated based on an image captured by an image sensor and generate a plurality of first matrix outputs based on the plurality of component images. The post processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a first luminance component of the image and a chrominance component of the image. The second matrix processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a second luminance component of the image and a saturation component of the image. The split visual and analytics circuit is configured to generate visual and analytic data of the image.

    Low latency streaming remapping engine

    公开(公告)号:US11170464B2

    公开(公告)日:2021-11-09

    申请号:US16909710

    申请日:2020-06-23

    Abstract: A lens distortion correction function operates by backmapping output images to the uncorrected, distorted input images. As a vision image processor completes processing on the image data lines needed for the lens distortion correction function to operate on a group of output, undistorted image lines, the lens distortion correction function begins processing the image data. This improves image processing pipeline delays by overlapping the operations. The vision image processor provides output image data to a circular buffer in SRAM, rather than providing it to DRAM. The lens distortion correction function operates from the image data in the circular buffer. By operating from the SRAM circular buffer, access to the DRAM for the highly fragmented backmapping image data read operations is removed, improving available DRAM bandwidth. By using a circular buffer, less space is needed in the SRAM. The improved memory operations further improve the image processing pipeline delays.

    Method and apparatus of HEVC de-blocking filter

    公开(公告)号:US11070819B2

    公开(公告)日:2021-07-20

    申请号:US16564871

    申请日:2019-09-09

    Abstract: A method of de-blocking filtering a processed video is provided. The processed video includes a plurality of blocks and each block includes a plurality of sub-blocks. A current block of the plurality of blocks includes vertical edges and horizontal edges. The processed video further includes a set of control parameters and reconstructed pixels corresponding to the current block. A boundary strength index is estimated at the vertical edges and at the horizontal edges of the current block. The set of control parameters, the reconstructed pixels corresponding to the current block and partially filtered pixels corresponding to a set of adjacent sub-blocks are loaded. The vertical edges and the horizontal edges of the current block are filtered based on the boundary strength index and the set of control parameters such that a vertical edge of the current block is filtered before filtering at least one horizontal edge of the current block.

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