Image Compression/Decompression in a Computer Vision System

    公开(公告)号:US20220375022A1

    公开(公告)日:2022-11-24

    申请号:US17879251

    申请日:2022-08-02

    Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.

    Camera-only-localization in sparse 3D mapped environments

    公开(公告)号:US11417017B2

    公开(公告)日:2022-08-16

    申请号:US16854590

    申请日:2020-04-21

    Abstract: Techniques for localizing a vehicle including obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.

    Method and apparatus for real-time SAO parameter estimation

    公开(公告)号:US11006124B2

    公开(公告)日:2021-05-11

    申请号:US16889962

    申请日:2020-06-02

    Abstract: The disclosure provides a sample adaptive offset (SAO) encoder. The SAO encoder includes a statistics collection (SC) block and a rate distortion optimization (RDO) block coupled to the SC block. The SC block receives a set of deblocked pixels and a set of original pixels. The SC block categorizes each deblocked pixel of the set of deblocked pixels in at least one of a plurality of band and edge categories. The SC block estimates an error in each category as difference between a deblocked pixel of the set of deblocked pixels and corresponding original pixel of the set of original pixels. The RDO block determines a set of candidate offsets associated with each category and selects a candidate offset with a minimum RD cost. The minimum RD cost is used by a SAO type block and a decision block to generate final offsets for the SAO encoder.

    METHOD AND APPARATUS FOR REAL-TIME SAO PARAMETER ESTIMATION

    公开(公告)号:US20200296385A1

    公开(公告)日:2020-09-17

    申请号:US16889962

    申请日:2020-06-02

    Abstract: The disclosure provides a sample adaptive offset (SAO) encoder. The SAO encoder includes a statistics collection (SC) block and a rate distortion optimization (RDO) block coupled to the SC block. The SC block receives a set of deblocked pixels and a set of original pixels. The SC block categorizes each deblocked pixel of the set of deblocked pixels in at least one of a plurality of band and edge categories. The SC block estimates an error in each category as difference between a deblocked pixel of the set of deblocked pixels and corresponding original pixel of the set of original pixels. The RDO block determines a set of candidate offsets associated with each category and selects a candidate offset with a minimum RD cost. The minimum RD cost is used by a SAO type block and a decision block to generate final offsets for the SAO encoder.

    Image compression/decompression in a computer vision system

    公开(公告)号:US10706492B2

    公开(公告)日:2020-07-07

    申请号:US15695266

    申请日:2017-09-05

    Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.

    Adaptive weighted-local-difference order statistics filters
    28.
    发明授权
    Adaptive weighted-local-difference order statistics filters 有权
    自适应加权局部差分顺序统计滤波器

    公开(公告)号:US09208545B2

    公开(公告)日:2015-12-08

    申请号:US14032314

    申请日:2013-09-20

    Abstract: A novel modification to the order statistics filters called the Adaptive Weighted-Local-Difference Order Statistics is shown that will act as a generic framework for the design of adaptive filters suitable for specific signal processing applications. To demonstrate the design of filters using this framework two implementations were defined and evaluated: Edge Orientation Adaptive Weighted-Local-Difference Median Filter (EOAWLDMF) and Luminance-Similarity Adaptive Weighted-Local-Difference Median Filter (LSAWLDMF) for restoration of noisy images.

    Abstract translation: 被称为自适应加权局部差分订单统计的订单统计过滤器的一个新颖的修改被显示出来,它将作为适用于特定信号处理应用的自适应滤波器设计的通用框架。 为了演示使用该框架的滤波器的设计,定义和评估了两个实现:边缘方向自适应加权局部差分中值滤波器(EOAWLDMF)和亮度相似性自适应加权局部差分中值滤波器(LSAWLDMF)用于恢复噪声图像。

    Adaptive Weighted-Local-Difference Order Statistics Filters
    29.
    发明申请
    Adaptive Weighted-Local-Difference Order Statistics Filters 有权
    自适应加权局部差异订单统计量过滤器

    公开(公告)号:US20150086125A1

    公开(公告)日:2015-03-26

    申请号:US14032314

    申请日:2013-09-20

    Abstract: A novel modification to the order statistics filters called the Adaptive Weighted-Local-Difference Order Statistics is shown that will act as a generic framework for the design of adaptive filters suitable for specific signal processing applications. To demonstrate the design of filters using this framework two implementations were defined and evaluated: Edge Orientation Adaptive Weighted-Local-Difference Median Filter (EOAWLDMF) and Luminance-Similarity Adaptive Weighted-Local-Difference Median Filter (LSAWLDMF) for restoration of noisy images.

    Abstract translation: 被称为自适应加权局部差分订单统计的订单统计过滤器的一个新颖的修改被显示出来,它将作为适用于特定信号处理应用的自适应滤波器设计的通用框架。 为了演示使用该框架的滤波器的设计,定义和评估了两个实现:边缘方向自适应加权局部差分中值滤波器(EOAWLDMF)和亮度相似性自适应加权局部差分中值滤波器(LSAWLDMF)用于恢复噪声图像。

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