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    • 7. 发明授权
    • Analysis of stereoscopic images
    • 立体图像分析
    • US08526716B2
    • 2013-09-03
    • US13415962
    • 2012-03-09
    • Michael James Knee
    • Michael James Knee
    • G06K9/00
    • G06T7/97G06T2207/10021G06T2207/20021H04N13/10H04N13/398H04N17/00H04N2013/0081
    • A method of processing in an image processor a pair of images intended for stereoscopic presentation to identify left-eye and right-eye images of the pair. The method includes dividing both images of the pair into a plurality of like image regions, determining for each region a disparity value between the images of the pair to produce a set of disparity values, deriving for each region a confidence factor for the disparity value, determining a correlation parameter between the set of disparity values and a corresponding set of disparity values from a disparity model, in which the contribution of the disparity value for a region to the said correlation parameter is weighted in dependence on the confidence factor for that region, and identifying from said correlation parameter the left-eye and right-eye images of the pair, wherein the left eye and right images form a stereoscopic pair.
    • 一种在图像处理器中处理用于立体呈现以识别该对的左眼和右眼图像的一对图像的方法。 该方法包括将该对的两个图像划分成多个相似的图像区域,为每个区域确定该对图像之间的差异值以产生一组视差值,为每个区域导出视差值的置信因子, 确定所述视差集合集合和来自视差模型的对应视差值集合之间的相关参数,其中,根据所述区域的置信因子对区域的视差值对所述相关参数的贡献进行加权, 以及从所述相关参数识别所述对的左眼和右眼图像,其中所述左眼和右图像形成立体对。
    • 9. 发明申请
    • DETECTING A BORDER REGION IN AN IMAGE
    • 检测图像中的边界区域
    • US20090252419A1
    • 2009-10-08
    • US12417411
    • 2009-04-02
    • Michael James Knee
    • Michael James Knee
    • G06K9/48
    • G06K9/4609G06T7/13
    • Systems and methods for detecting a border region in an image. A blank border in a video picture is determined by summing luminance or other pixel measures in a direction parallel to the border and looking for the maximum gradient of those summed measures in a direction perpendicular to the border. Sensitivity can be enhanced by increasing (relative to other pixels) the gain of pixels around the present pixel value of the border. The location of the maximum gradient may be weighted by other measures before a decision on border location is taken.
    • 用于检测图像中的边界区域的系统和方法。 通过在平行于边界的方向上求和亮度或其他像素度量并且在与边界垂直的方向上寻找这些相加度量的最大梯度来确定视频图像中的空白边框。 可以通过增加(相对于其他像素)围绕边框的当前像素值的像素的增益来增强灵敏度。 在采取边界位置决定之前,最大梯度的位置可以由其他措施加权。
    • 10. 发明申请
    • Method and Apparatus for Spatial Interpolation of Colour Images
    • 彩色图像空间插值的方法和装置
    • US20080199105A1
    • 2008-08-21
    • US11915615
    • 2006-06-01
    • Michael James Knee
    • Michael James Knee
    • G06K9/32
    • H04N9/045H04N2209/046
    • This invention concerns the spatial interpolation of colour images and, in particular, the reconstruction, or “de-mosaicing” of data from a single sensor-array electronic camera. Electronic cameras typically have an image sensor comprising a matrix of individual pixel sensors, each sensor being responsive to a colour component. In order to obtain colour component information for all pixels, in accordance with the disclosed embodiment, green component pixel values (203) are interpolated to obtain green component pixel values for all pixels (209). A difference value (B−G) (212) is formed from the green colour component values (207) and the original blue component values (204) at blue pixel locations, and the difference values (B−G) (212) are then interpolated to obtain difference values for all pixels (216). Blue component values for all pixels (225) can then be obtained from the difference values for all pixels (216) and the green component values for all pixels (209).
    • 本发明涉及彩色图像的空间插值,特别是涉及来自单个传感器阵列电子照相机的数据的重构或“去镶嵌”。 电子照相机通常具有包括单个像素传感器的矩阵的图像传感器,每个传感器响应颜色分量。 为了获得所有像素的颜色分量信息,根据所公开的实施例,内插绿色分量像素值(203)以获得所有像素的绿色分量像素值(209)。 在蓝色像素位置处由绿色分量值(207)和原始蓝色分量值(204)形成差分值(BG)(212),然后内插差分值(BG)(212)以获得差异 所有像素的值(216)。 然后可以从所有像素(216)和所有像素(209)的绿色分量值的差值获得所有像素(225)的蓝色分量值。