AUTO-FOCUS CALIBRATION FOR IMAGE CAPTURE DEVICE
    1.
    发明申请
    AUTO-FOCUS CALIBRATION FOR IMAGE CAPTURE DEVICE 审中-公开
    图像捕获设备的自动对焦校准

    公开(公告)号:WO2009103000A3

    公开(公告)日:2010-04-01

    申请号:PCT/US2009034124

    申请日:2009-02-13

    CPC classification number: H04N5/23212

    Abstract: The disclosure relates to techniques for calibration of an auto-focus process in an image capture device. The techniques may involve calibration of a lens actuator used to move a lens within a search range during an auto-focus process. For example, an image capture device may adjust reference positions for the search range based on lens positions selected for different focus conditions. The different focus conditions may include a far focus condition and a near focus condition. The focus conditions may be determined based on a detected environment in which the device is used. Detection of an indoor environment may indicate a likelihood of near object focus, while detection of an outdoor environment may indicate a likelihood of far object focus. An image capture device may detect indoor and outdoor environments based on lighting, exposure, or other conditions.

    Abstract translation: 本公开涉及用于在图像捕获装置中校准自动对焦过程的技术。 这些技术可以涉及在自动对焦过程期间校准用于在搜索范围内移动透镜的透镜致动器。 例如,图像拍摄装置可以基于为不同聚焦条件选择的镜头位置来调整搜索范围的参考位置。 不同的对焦条件可以包括远焦点条件和近焦点条件。 可以基于使用该设备的检测环境来确定聚焦条件。 室内环境的检测可以指示近物体聚焦的可能性,而室外环境的检测可以指示远对象聚焦的可能性。 图像捕获装置可以基于照明,曝光或其他条件检测室内和室外环境。

    DYNAMIC AUTO-FOCUS WINDOW SELECTION THAT COMPENSATES FOR HAND JITTER
    2.
    发明申请
    DYNAMIC AUTO-FOCUS WINDOW SELECTION THAT COMPENSATES FOR HAND JITTER 审中-公开
    动态自动对焦窗口选择,用于手持机的补偿

    公开(公告)号:WO2008083403A1

    公开(公告)日:2008-07-10

    申请号:PCT/US2008/050043

    申请日:2008-01-02

    CPC classification number: H04N5/23248 H04N5/23212 H04N5/23254 H04N5/23274

    Abstract: A method and device are provided for mitigating and/or minimizing effects of hand jitter or shaking during an auto-focusing process of an image-capturing device. In order to more accurately focus a lens for capturing a digital image, the lens is moved between a minimum and maximum position (along an axis) while capturing sample image frames using a focus window at various lens positions. Improved auto-focusing is achieved by dynamically adjusting the relative position of the focus window for each image frame to cover substantially the same image portion of the target image. By adjusting the focus window for each image frame to cover substantially the same image portion of the target image, variations from shaking may be minimized, thereby improving auto-focusing.

    Abstract translation: 提供了一种方法和装置,用于在图像捕获装置的自动对焦过程期间减轻和/或最小化手抖动或抖动的影响。 为了更精确地聚焦用于捕获数字图像的透镜,透镜在最小和最大位置(沿着轴)之间移动,同时使用各种透镜位置处的对焦窗口捕获采样图像帧。 通过动态调整每个图像帧的对焦窗口的相对位置以覆盖目标图像的基本相同的图像部分来实现改进的自动聚焦。 通过调整每个图像帧的对焦窗口以覆盖目标图像的基本上相同的图像部分,可以使抖动的变化最小化,从而改善自动聚焦。

    PREDICTIVE FOCUS VALUE CALCULATION FOR IMAGE CAPTURE DEVICES
    3.
    发明申请
    PREDICTIVE FOCUS VALUE CALCULATION FOR IMAGE CAPTURE DEVICES 审中-公开
    图像捕获设备的预测聚焦值计算

    公开(公告)号:WO2008036623A1

    公开(公告)日:2008-03-27

    申请号:PCT/US2007/078715

    申请日:2007-09-18

    CPC classification number: G02B7/36 H04N5/23212 H04N5/3532

    Abstract: Techniques are described for predictive focus value calculation within image capture devices. Image capture devices may include digital still cameras and digital video cameras. The techniques include performing an auto-focus process within an image capture device by predicting a focus value for a scene at a lens position of a lens included in the image capture device based on a corrupt focus value for the lens position calculated from a first frame directly after lens settlement. Therefore, the auto-focus process may determine size and direction of movement for the lens to a next lens position based on the predicted valid focus value, and move the lens to the next lens position during a second frame. In this way, the techniques may move the lens to another lens position during each frame, greatly reducing auto-focus latency by potentially doubling or tripling the speed of the auto-focus process.

    Abstract translation: 描述了用于在图像捕获装置内预测聚焦值计算的技术。 图像捕获设备可以包括数字静态照相机和数字摄像机。 这些技术包括通过基于从第一帧计算的透镜位置的损坏聚焦值预测图像拍摄装置中包括的透镜的透镜位置处的场景的焦点值来在图像拍摄装置内执行自动对焦处理 直接在晶状体沉降后。 因此,自动聚焦处理可以基于预测的有效焦点值来确定透镜到下一个透镜位置的移动的尺寸和方向,并且在第二帧期间将透镜移动到下一个透镜位置。 以这种方式,这些技术可以在每个帧期间将镜头移动到另一个镜头位置,通过将自动对焦过程的速度潜在地加倍或三倍大大降低了自动对焦延迟。

    ADAPTIVE AUTO WHITE BALANCE
    4.
    发明申请
    ADAPTIVE AUTO WHITE BALANCE 审中-公开
    自适应自动白平衡

    公开(公告)号:WO2007120321A2

    公开(公告)日:2007-10-25

    申请号:PCT/US2006061818

    申请日:2006-12-08

    CPC classification number: H04N1/6027 H04N9/735

    Abstract: An imaging system generates a gain for a component of an image format. The gain is at least partially dependent on the brightness of the light source illuminating a scene when an image of the scene was generated. The gain can be used to correct the component of the image format for the color shift in the image caused by the light source. In some instances, the imaging system generates a gain for a plurality of the components of the image format or for all of the components of the image format. The gains can be used to correct the components for the color shift in the image caused by the light source.

    Abstract translation: 成像系统为图像格式的分量生成增益。 当生成场景的图像时,增益至少部分地取决于照亮场景的光源的亮度。 增益可用于校正由光源引起的图像中颜色偏移的图像格式的分量。 在一些情况下,成像系统为图像格式的多个分量或图像格式的所有分量生成增益。 增益可以用于校正由光源引起的图像中的颜色偏移的分量。

    METHOD AND APPARATUS FOR ADAPTIVE AND SELF-CALIBRATED SENSOR GREEN CHANNEL GAIN BALANCING
    5.
    发明申请
    METHOD AND APPARATUS FOR ADAPTIVE AND SELF-CALIBRATED SENSOR GREEN CHANNEL GAIN BALANCING 审中-公开
    用于自适应和自校准传感器绿色通道增益平衡的方法和设备

    公开(公告)号:WO2007084930A2

    公开(公告)日:2007-07-26

    申请号:PCT/US2007/060651

    申请日:2007-01-17

    CPC classification number: H04N9/045

    Abstract: A method and apparatus for adaptive green channel odd-even mismatch removal to effectuate the disappearance of artifacts caused by the odd-even mismatch in a demosaic processed image. In one adaptive approach, a calibrated GR channel gain for red rows and a calibrated GB channel gain for blue rows are determined and are a function of valid pixels only in each respective region. After the calibration, in a correction process, the green pixels in red rows of a region are multiplied by the calibrated GR channel gain. On the other hand, the green pixels in blue rows are multiplied by the calibrated GB channel gain. Thus, after demosaic processing, the corrected image has essentially no artifacts caused by odd-even mismatch of the green channel. Alternately, the adaptive green channel odd-even mismatch removal method replaces the center green pixel of a region having an odd number of columns and rows with a normalized weighted green pixel sum total. The weighted green pixel sum total adds the center green pixel weighted by a first weighting factor, a sum of a first tier layer of weighted green pixel values based on a second weighting factor and a sum of a second tier layer of weighted green pixel values based on a third weighting factor.

    Abstract translation: 一种用于自适应绿色通道奇偶失配去除的实现方法和装置,以实现由去马赛克处理的图像中的奇偶失配引起的伪像的消失。 在一种自适应方法中,确定红色行的经校准的GR通道增益和蓝色行的经校准的GB通道增益,并且是仅在每个相应区域中有效像素的函数。 在校准之后,在校正过程中,区域的红色行中的绿色像素乘以校准的GR通道增益。 另一方面,蓝色行中的绿色像素乘以校准的GB通道增益。 因此,在去马赛克处理之后,经校正的图像基本上没有由绿色通道的奇偶失配引起的伪影。 或者,自适应绿色通道奇偶失配消除方法用归一化的加权绿色像素总和替换具有奇数列和行的区域的中心绿色像素。 加权的绿色像素总和将通过第一加权因子加权的中心绿色像素,基于第二加权因子的加权绿色像素值的第一层层和基于加权绿色像素值的第二层层的总和 在第三个权重因素。

    METHODS AND APPARATUS FOR CONDITIONAL DISPLAY OF A STEREOSCOPIC IMAGE PAIR
    6.
    发明申请
    METHODS AND APPARATUS FOR CONDITIONAL DISPLAY OF A STEREOSCOPIC IMAGE PAIR 审中-公开
    用于立体图像对的条件显示的方法和装置

    公开(公告)号:WO2013049130A1

    公开(公告)日:2013-04-04

    申请号:PCT/US2012/057232

    申请日:2012-09-26

    Abstract: Apparatus and methods for conditional display of a stereoscopic image pair on a display device are disclosed. Particularly, some implementations include receiving a first image and a second image, determining a vertical disparity between the first image and the second images, and displaying a stereoscopic image pair if the vertical disparity is below a threshold. Some implementations provide for correcting the vertical disparity by generating at least one corrected image, and generating the stereoscopic image pair based on the corrected image. Some implementations may evaluate the quality of the stereoscopic image pair, and display either a two dimensional image or the stereoscopic image pair based on the evaluation.

    Abstract translation: 公开了一种用于显示设备上的立体图像对的条件显示的装置和方法。 特别地,一些实现包括接收第一图像和第二图像,确定第一图像和第二图像之间的垂直视差,以及如果垂直视差低于阈值则显示立体图像对。 一些实施方案提供了通过生成至少一个校正图像来校正垂直视差,并且基于校正图像生成立体图像对。 一些实现可以评估立体图像对的质量,并且基于评估显示二维图像或立体图像对。

    SYSTEMS AND METHODS TO CAPTURE A STEREOSCOPIC IMAGE PAIR
    7.
    发明申请
    SYSTEMS AND METHODS TO CAPTURE A STEREOSCOPIC IMAGE PAIR 审中-公开
    用于捕获立体图像对的系统和方法

    公开(公告)号:WO2013025391A2

    公开(公告)日:2013-02-21

    申请号:PCT/US2012049754

    申请日:2012-08-06

    Abstract: Described are a system, apparatus, and method to capture a stereoscopic image pair using an imaging device with a single imaging sensor. Particularly, discussed are systems and methods for capturing a first and second image through an image sensor, determining a vertical and horizontal disparity between the two images, and applying corrections for geometric distortion, vertical disparity, and convergence between the two images. Some embodiments contemplate displaying a directional indicator before the second image of the stereoscopic image pair is captured. By displaying a directional indicator, a more optimal position for the second image of the stereoscopic image pair may be found, resulting in a higher quality stereoscopic image pair.

    Abstract translation: 描述了使用具有单个成像传感器的成像装置来捕捉立体图像对的系统,设备和方法。 具体而言,讨论了用于通过图像传感器捕获第一和第二图像,确定两个图像之间的垂直和水平差异以及对两个图像之间的几何失真,垂直差异和会聚应用校正的系统和方法。 一些实施例考虑在捕获立体图像对的第二图像之前显示方向指示符。 通过显示方向指示符,可以找到立体图像对的第二图像的更优化的位置,导致更高质量的立体图像对。

    CHROMA SUPRESSION FEATURES
    9.
    发明申请
    CHROMA SUPRESSION FEATURES 审中-公开
    CHROMA SUPRESSION功能

    公开(公告)号:WO2008036850A3

    公开(公告)日:2008-05-22

    申请号:PCT/US2007079085

    申请日:2007-09-20

    CPC classification number: H04N9/646

    Abstract: Apparatus are provided including an image signal carrier, a luminance information evaluator, and a chrominance information modifier. The image signal carrier is encoded with an image signal including luminance information and chrominance information. The luminance information evaluator evaluates the luminance information in the image signal for a given region within the image to identify when the given region is one of substantially white and substantially dark. The chrominance information modifier is provided to modify the chrominance information corresponding to the given region when the given region is one of substantially white and substantially dark

    Abstract translation: 提供了包括图像信号载波,亮度信息评估器和色度信息修改器的设备。 图像信号载体用包括亮度信息和色度信息的图像信号编码。 亮度信息评估器对图像内的给定区域的图像信号中的亮度信息进行评估,以识别给定区域何时是基本上白色和基本上黑暗中的一种。 提供色度信息修改器以当给定区域是基本白色和基本黑暗中的一个时修改对应于给定区域的色度信息

    METHOD AND APPARATUS FOR ADAPTIVE AND SELF-CALIBRATED SENSOR GREEN CHANNEL GAIN BALANCING
    10.
    发明申请
    METHOD AND APPARATUS FOR ADAPTIVE AND SELF-CALIBRATED SENSOR GREEN CHANNEL GAIN BALANCING 审中-公开
    自适应和自校准传感器绿色通道增益平衡的方法和装置

    公开(公告)号:WO2007084930A3

    公开(公告)日:2007-11-15

    申请号:PCT/US2007060651

    申请日:2007-01-17

    CPC classification number: H04N9/045

    Abstract: A method and apparatus for adaptive green channel odd-even mismatch removal to effectuate the disappearance of artifacts caused by the odd-even mismatch in a demosaic processed image. In one adaptive approach, a calibrated GR channel gain for red rows and a calibrated GB channel gain for blue rows are determined and are a function of valid pixels only in each respective region. After the calibration, in a correction process, the green pixels in red rows of a region are multiplied by the calibrated GR channel gain. On the other hand, the green pixels in blue rows are multiplied by the calibrated GB channel gain. Thus, after demosaic processing, the corrected image has essentially no artifacts caused by odd-even mismatch of the green channel. Alternately, the adaptive green channel odd-even mismatch removal method replaces the center green pixel of a region having an odd number of columns and rows with a normalized weighted green pixel sum total. The weighted green pixel sum total adds the center green pixel weighted by a first weighting factor, a sum of a first tier layer of weighted green pixel values based on a second weighting factor and a sum of a second tier layer of weighted green pixel values based on a third weighting factor.

    Abstract translation: 一种用于自适应绿色通道奇偶校验去除的方法和装置,以实现由去马赛克处理的图像中的奇偶校验失配引起的伪像的消失。 在一种自适应方法中,确定用于红色行的经校准的GR信道增益和用于蓝色行的校准的GB信道增益,并且仅在每个相应区域中是有效像素的函数。 在校准之后,在校正过程中,区域的红色行中的绿色像素乘以校准的GR通道增益。 另一方面,蓝色行中的绿色像素乘以校准的GB通道增益。 因此,在去马赛克处理之后,校正图像基本上没有由绿色通道的奇偶校正引起的伪像。 或者,自适应绿色通道奇偶校验去除方法用归一化加权的绿色像素总和替代具有奇数列和行的区域的中心绿色像素。 加权的绿色像素总和将基于第二加权因子的加权的绿色像素值的第一层的加权的第一加权因子和加权的绿色像素值的第二层的和加上由第一加权因子加权的中心的绿色像素, 在第三个加权因子。

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