Applications for detection capabilities of cameras

    公开(公告)号:US11652982B2

    公开(公告)日:2023-05-16

    申请号:US17315130

    申请日:2021-05-07

    Abstract: In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.

    TRAINING A NEURAL NETWORK USING LUMINANCE

    公开(公告)号:US20250095126A1

    公开(公告)日:2025-03-20

    申请号:US18634511

    申请日:2024-04-12

    Abstract: Apparatuses, systems, and techniques to process luminance and/or radiance values of one or more images from one or more cameras using one or more neural networks to perform a machine vision task. In at least one embodiment, one or more neural networks determine detection difficulty levels of objects within the one or more images and performs a machine vision task based on the determined detection difficulty levels of objects within images associated with that ask.

    RGB-IR DATA PROCESSING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

    公开(公告)号:US20230360178A1

    公开(公告)日:2023-11-09

    申请号:US17736648

    申请日:2022-05-04

    Abstract: A system, such as for use in an automobile, is configured to process image data that includes infrared values and visible light values (e.g., data generated by a red, green, blue, infrared (RGB-IR) sensor). The system determines how to blend IR data and visible light data together to generate optimal images according to current light levels. In embodiments, the system computes a scene detection value for the image data based on a comparison between the infrared values and the visible light values. The system can then determine an amount of infrared correction, a color correction factor, a color saturation factor, etc. to apply to the image data. The system then transforms the image data based on the amount of infrared correction, the color correction factor, the color saturation factor, etc. The transformed image data includes more information for low light scenes than is traditionally available, and thus produces higher quality images in embodiments.

    METHOD OF COLOR CORRECTION
    7.
    发明申请

    公开(公告)号:US20250080863A1

    公开(公告)日:2025-03-06

    申请号:US18242395

    申请日:2023-09-05

    Abstract: Apparatuses, systems, and techniques for performing color correction are presented. In at least one embodiment, a color mapping model may be identified that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space and applied to an input image to adjust a value of one or more pixels of the input image that fall within the subspace. In at least one embodiment, a color mapping model may be initialized that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space. At least one parameter of the color mapping model may be adjusted to reduce an amount of visible artifacts produced by the color mapping model.

    Evaluating detection capabilities of cameras

    公开(公告)号:US11758120B2

    公开(公告)日:2023-09-12

    申请号:US17315125

    申请日:2021-05-07

    Abstract: In one embodiment, a system determines pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs of the image, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs, where a contrast is calculated between the first pixel and the second pixel. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution.

    IMAGE SIGNAL PROCESSING PIPELINES FOR HIGH DYNAMIC RANGE SENSORS

    公开(公告)号:US20230065993A1

    公开(公告)日:2023-03-02

    申请号:US17461750

    申请日:2021-08-30

    Abstract: Apparatuses, systems, and techniques to receive, at one or more processor associated with an image signal processing (ISP) pipeline, a compressed image generated by an image sensor, wherein the compressed image is captured at a first bit-depth associated with the image sensor and is compressed to a second bit-depth that is lower than the first bit-depth, and wherein the ISP is associated with a third bit-depth that is lower than the first bit-depth and higher than the second bit-depth; and decompress the compressed image according to a power curve to generate a partially decompressed image having the third bit-depth, wherein a plurality of regions of the partially decompressed image are decompressed at separate decompression amounts based on a corresponding pixel value of each region of the plurality of regions.

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