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
    12.
    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。

    APPLICATIONS FOR DETECTION CAPABILITIES OF CAMERAS

    公开(公告)号:US20230291890A1

    公开(公告)日:2023-09-14

    申请号:US18195831

    申请日:2023-05-10

    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.

    APPLICATIONS FOR DETECTION CAPABILITIES OF CAMERAS

    公开(公告)号:US20220141450A1

    公开(公告)日:2022-05-05

    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.

    ROBUST SELECTION AND WEIGHTING FOR GRAY PATCH AUTOMATIC WHITE BALANCING
    17.
    发明申请
    ROBUST SELECTION AND WEIGHTING FOR GRAY PATCH AUTOMATIC WHITE BALANCING 有权
    强力选择和称重灰色自动白平衡

    公开(公告)号:US20140125836A1

    公开(公告)日:2014-05-08

    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。

    DYNAMIC COLOR PROFILE MANAGEMENT FOR ELECTRONIC DEVICES
    18.
    发明申请
    DYNAMIC COLOR PROFILE MANAGEMENT FOR ELECTRONIC DEVICES 有权
    电子设备动态色彩配置管理

    公开(公告)号:US20140071102A1

    公开(公告)日:2014-03-13

    申请号:US13732246

    申请日:2012-12-31

    Abstract: Dynamic white point management techniques include determining a white point of ambient light proximate to a display. A color profile adjustment is determined based upon the determined white point and intensity of the ambient light. The image color space is transformed to a display color space for rendering on the display based on the determined adjusted to the color profile.

    Abstract translation: 动态白点管理技术包括确定靠近显示器的环境光的白点。 基于所确定的环境光的白点和强度来确定颜色轮廓调整。 图像颜色空间被转换为显示颜色空间,用于基于所确定的调整到颜色轮廓的显示器进行渲染。

    Applications for detection capabilities of cameras

    公开(公告)号:US12238271B2

    公开(公告)日:2025-02-25

    申请号:US18195831

    申请日:2023-05-10

    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.

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