FILTERED IMAGE DATA RECOVERY USING LOOKBACK
    1.
    发明申请
    FILTERED IMAGE DATA RECOVERY USING LOOKBACK 有权
    使用LOOKBACK的过滤图像数据恢复

    公开(公告)号:US20160132499A1

    公开(公告)日:2016-05-12

    申请号:US14932490

    申请日:2015-11-04

    Abstract: Methods and systems for filtered image data recovery using lookback include storing first, second, and third data captures received from the image sensor in a first memory component and a second memory component. The methods and systems also include identifying a second detection in the second data capture and a third detection in the third data capture by filtering the first, second, and third data captures. The second detection and the third detection each exceed a pixel intensity threshold. The methods and systems also include correlating the second detection and the third detection to identify at least one track. The methods and systems also include detecting a first detection in the first data capture stored in the second memory component, the first detection being a pixel intensity value that is less than the threshold or an initiation event having a pixel intensity value that is less than the threshold.

    Abstract translation: 用于使用回顾的用于滤波图像数据恢复的方法和系统包括将从图像传感器接收的第一,第二和第三数据捕获存储在第一存储器组件和第二存储器组件中。 所述方法和系统还包括通过对第一,第二和第三数据捕获进行滤波来识别第二数据捕获中的第二检测和第三数据捕获中的第三检测。 第二检测和第三检测都超过像素强度阈值。 方法和系统还包括将第二检测和第三检测相关联以识别至少一个轨道。 方法和系统还包括检测存储在第二存储器组件中的第一数据捕获中的第一检测,第一检测是小于阈值的像素强度值或具有小于阈值的像素强度值的起始事件 阈。

    VIDEO IMAGE RECOVERY FROM TRANSIENT BLOCKAGE OR CORRUPTION ARTIFACTS
    2.
    发明申请
    VIDEO IMAGE RECOVERY FROM TRANSIENT BLOCKAGE OR CORRUPTION ARTIFACTS 有权
    视频图像恢复从瞬态阻塞或腐败文学

    公开(公告)号:US20160112647A1

    公开(公告)日:2016-04-21

    申请号:US14918096

    申请日:2015-10-20

    Abstract: Methods, systems, and computer readable media for video image recovery from transient blockage or corruption artifacts include receiving first and second data captures from an image sensor having first and second pluralities of pixel intensity values corresponding to pixel locations of the first and second data captures. The methods, systems, and computer readable media also include identifying in the second data capture, one or more of the second pixel intensity values exceeding a contrast threshold to detect a transient blockage. The methods, systems, and computer readable media also include replacing the one or more of the second pixel intensity values exceeding the contrast threshold with one or more of the first pixel intensity values to generate a corrected data capture.

    Abstract translation: 用于从瞬态阻塞或破坏伪影中恢复视频图像的方法,系统和计算机可读介质包括从具有对应于第一和第二数据捕获的像素位置的第一和第二多个像素强度值的图像传感器接收第一和第二数据捕获。 方法,系统和计算机可读介质还包括在第二数据捕获中识别超过对比度阈值的一个或多个第二像素强度值以检测瞬时阻塞。 方法,系统和计算机可读介质还包括用一个或多个第一像素强度值来替换超过对比度阈值的一个或多个第二像素强度值,以产生校正数据捕获。

    FRAME REGISTRATION FOR IMAGING SENSORS IN MOTION
    3.
    发明申请
    FRAME REGISTRATION FOR IMAGING SENSORS IN MOTION 有权
    用于成像传感器运动的框架注册

    公开(公告)号:US20160112641A1

    公开(公告)日:2016-04-21

    申请号:US14918118

    申请日:2015-10-20

    Abstract: Methods and systems for non-stationary image sensor frame registration include receiving a data capture from an image sensor in motion, spatially filtering at least one pixel intensity value within the data capture to create a spatially filtered image, predictively differencing a filtered pixel intensity value of the spatially filtered image from a predicted intensity value, and generating a predictively differenced image based on the predictive differencing.

    Abstract translation: 用于非平稳图像传感器帧配准的方法和系统包括从运动中的图像传感器接收数据捕获,对数据捕获内的至少一个像素强度值进行空间滤波,以产生空间滤波图像,预测差分滤波像素强度值 来自预测强度值的空间滤波图像,以及基于预测差异产生预测差分图像。

    MEASURING ATMOSPHERIC ATTRIBUTES USING MULTISPECTRAL IMAGES
    6.
    发明申请
    MEASURING ATMOSPHERIC ATTRIBUTES USING MULTISPECTRAL IMAGES 有权
    使用多重图像测量大气特性

    公开(公告)号:US20160110582A1

    公开(公告)日:2016-04-21

    申请号:US14918154

    申请日:2015-10-20

    CPC classification number: G06K9/0063 G06K2009/00644

    Abstract: A mechanism for determining atmospheric conditions from an image is described. A mechanism for determining atmospheric conditions includes determining an intensity value for pixels above and below the horizon in an image, calculating a slope between the intensity values for the pixels above the horizon, and a slope between the intensity values for the pixels below the horizon, and determining a difference between the slopes to determine the atmospheric conditions.

    Abstract translation: 描述了用于从图像确定大气条件的机构。 用于确定大气条件的机构包括:确定图像中水平线上方和下方的像素的强度值,计算水平线以上像素的强度值与水平线以下像素的强度值之间的斜率, 并确定斜率之间的差以确定大气条件。

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