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.

    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.

    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.

    EVALUATING DETECTION CAPABILITIES OF CAMERAS

    公开(公告)号:US20220141449A1

    公开(公告)日:2022-05-05

    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.

    Robust selection and weighting for gray patch automatic white balancing
    10.
    发明授权
    Robust selection and weighting for gray patch automatic white balancing 有权
    灰色自动白平衡的强大选择和权重

    公开(公告)号:US09307213B2

    公开(公告)日:2016-04-05

    申请号:US13668708

    申请日:2012-11-05

    CPC classification number: H04N9/735

    Abstract: Embodiments of the present invention are directed to methods and systems for robust weighting of gray patches in automatic white balancing in an image-capture device by utilizing kernel density estimation techniques with dynamically variable bandwidth to determine the probability density of samples to create an initial estimate, then verifying the initial gray point estimate to account for outliers. In one embodiment, given a set of image data, an initial gray point estimate in a color space is determined for the set of image data. The initial estimate is then refined by weighting the sub-population with the greatest probability of being gray. A final evaluation that includes a further comparison to pre-programmed constraints determines a final estimate, which can still be further tuned according to user preferences by adjusting color biases. The resulting final gray point estimate provides greater stability, and greatly improved accuracy over traditional techniques and solutions.

    Abstract translation: 本发明的实施例涉及通过利用具有动态可变带宽的核密度估计技术来确定采样的概率密度以创建初始估计的方法和系统,用于在图像捕获装置中自动白平衡中灰度补丁的鲁棒加权的方法和系统, 然后验证初始灰点估计值来解释异常值。 在一个实施例中,给定一组图像数据,确定一组图像数据在颜色空间中的初始灰点估计。 然后通过以最大的灰色概率加权子群体来改进初始估计。 包括与预编程约束的进一步比较的最终评估确定了最终估计,其仍然可以通过调整颜色偏差根据用户偏好进一步调整。 所得到的最终灰点估计提供了更大的稳定性,并且比传统技术和解决方案大大提高了准确性。

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