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    Determining an image capture payload burst structure based on a metering image capture sweep
    11.
    发明授权
    Determining an image capture payload burst structure based on a metering image capture sweep 有权
    基于测光图像捕获扫描确定图像捕获有效载荷突发结构

    公开(公告)号：US08866927B2

    公开(公告)日：2014-10-21

    申请号：US13713720

    申请日：2012-12-13

    Applicant: Google Inc.

    Inventor： Marc Stewart Levoy ,  Ryan Geiss ,  Samuel William Hasinoff

    IPC: H04N5/228 ,  H04N5/235

    CPC classification number: H04N5/2355 ,  G06K9/6212 ,  G06T5/009 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20208 ,  H04N5/2353

    Abstract: A first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured with a different total exposure time (TET). Based at least on the first plurality of images, a TET sequence may be determined for capturing images of the scene. A second plurality of images of the scene may be captured. Images in the second plurality of images may be captured using the TET sequence. Based at least on the second plurality of images, an output image of the scene may be constructed.

    Abstract translation: 可以捕获场景的第一多个图像。 可以用不同的总曝光时间（TET）捕获第一多个图像的每个图像。 至少基于第一多个图像，可以确定用于捕获场景的图像的TET序列。 可以捕获场景的第二多个图像。 可以使用TET序列捕获第二多个图像中的图像。 至少基于第二多个图像，可以构造场景的输出图像。

    Noise Models for Image Processing
    12.
    发明申请
    Noise Models for Image Processing 有权
    图像处理噪声模型

    公开(公告)号：US20140218540A1

    公开(公告)日：2014-08-07

    申请号：US13759749

    申请日：2013-02-05

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Changyin Zhou ,  Samuel William Hasinoff

    IPC: H04N17/00

    CPC classification number: H04N5/265 ,  G06F17/3025 ,  G06F17/3028 ,  G06K9/6202 ,  G06T5/50 ,  G06T7/90 ,  G06T2207/20208 ,  G06T2207/20221 ,  H04N5/217 ,  H04N5/2355 ,  H04N5/357 ,  H04N17/002

    Abstract: A plurality of images of a scene may be obtained. These images may have been captured by an image sensor, and may include a first image and a second image. A particular gain may have been applied to the first image. An effective color temperature and a brightness of a first pixel in the first image may be determined, and a mapping between pixel characteristics and noise deviation of the image sensor may be selected. The pixel characteristics may include pixel brightness. The selected mapping may be used to map at least the brightness of the first pixel to a particular noise deviation. The brightness of the first pixel and the particular noise deviation may be compared to a brightness of a second pixel of the second image. The comparison may be used to determine whether to merge the first pixel and the second pixel.

    Abstract translation: 可以获得场景的多个图像。 这些图像可能已经被图像传感器捕获，并且可以包括第一图像和第二图像。 特定的增益可能已被应用于第一图像。 可以确定第一图像中的有效色温和第一像素的亮度，并且可以选择图像传感器的像素特性和噪声偏差之间的映射。 像素特性可以包括像素亮度。 所选择的映射可以用于将至少第一像素的亮度映射到特定的噪声偏差。 可以将第一像素的亮度和特定噪声偏差与第二图像的第二像素的亮度进行比较。 比较可以用于确定是否合并第一像素和第二像素。

    Interleaved capture for high dynamic range image acquisition and synthesis
    14.
    发明授权
    Interleaved capture for high dynamic range image acquisition and synthesis 有权
    用于高动态范围图像采集和合成的交错捕获

    公开(公告)号：US09100589B1

    公开(公告)日：2015-08-04

    申请号：US13863981

    申请日：2013-04-16

    Applicant: Google Inc.

    Inventor： Ryan Geiss

    IPC: H04N5/265 ,  H04N5/235

    CPC classification number: H04N5/265 ,  H04N5/2353 ,  H04N5/2355

    Abstract: A computing device may capture a first image using a first exposure length. It may be determined that x pixels in the captured first image are properly-exposed and that y pixels in the captured first image are improperly-exposed. Based on the y improperly-exposed pixels, a second exposure length may be determined. A second image may be captured using the second exposure length. The second image may include y′ pixels that correspond to the y improperly-exposed pixels in the first image. At least some of the x properly-exposed pixels from the first image may be combined with at least some of the y′ pixels from the second image to form a composite image.

    Abstract translation: 计算设备可以使用第一曝光长度捕获第一图像。 可以确定捕获的第一图像中的x像素被适当地曝光，并且捕获的第一图像中的y像素被不正确地曝光。 基于y不正确曝光的像素，可以确定第二曝光长度。 可以使用第二曝光长度捕获第二图像。 第二图像可以包括对应于第一图像中的y不正确曝光的像素的y'像素。 来自第一图像的x个适当曝光的像素中的至少一些可以与来自第二图像的y'像素中的至少一些组合以形成合成图像。

    Selecting camera pairs for stereoscopic imaging
    18.
    发明授权
    Selecting camera pairs for stereoscopic imaging 有权
    选择用于立体成像的相机对

    公开(公告)号：US09544574B2

    公开(公告)日：2017-01-10

    申请号：US14098818

    申请日：2013-12-06

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Roman Lewkow

    IPC: H04N15/00 ,  H04N13/02

    CPC classification number: H04N13/243

    Abstract: An example method involves: (a) determining an indication of distance to an object in a scene, wherein the computing device comprises three or more image-capture devices that provide two or more baselines for stereoscopic imaging, wherein at least two pairs of image-capture devices from the three or more image-capture devices are operable for stereoscopic imaging, wherein each pair provides one of the baselines, and wherein a first of the baselines is non-parallel to a second of the baselines, (b) selecting, by the computing device, a first pair from the at least two pairs of image-capture devices, wherein the first pair is selected based on the indication of distance and the baseline provided by the first pair, and (c) operating the first pair of image-capture devices to capture stereoscopic image data.

    Abstract translation: 示例性方法包括：（a）确定与场景中的物体的距离的指示，其中所述计算设备包括提供用于立体成像的两个或更多个基线的三个或更多个图像捕获设备，其中至少两对图像 - 来自三个或更多个图像捕获设备的捕获设备可操作用于立体成像，其中每对提供基准之一，并且其中第一基线不平行于基线的第二基准，（b）通过 所述计算设备是来自所述至少两对图像捕获设备的第一对，其中，基于由所述第一对提供的距离和所述基线的指示来选择所述第一对，以及（c）操作所述第一对图像 捕获设备以捕获立体图像数据。

    Determining exposure times using split paxels
    19.
    发明授权
    Determining exposure times using split paxels 有权
    使用分裂孔确定曝光时间

    公开(公告)号：US09172888B2

    公开(公告)日：2015-10-27

    申请号：US14488891

    申请日：2014-09-17

    Applicant: Google Inc.

    Inventor： Ryan Geiss

    IPC: H04N5/235 ,  H04N5/335

    CPC classification number: H04N5/2353 ,  H04N5/2351 ,  H04N5/2355 ,  H04N5/335

    Abstract: A plurality of images of a scene may be captured. Each image of the plurality of images may be captured using a different total exposure time (TET). The images in the plurality of images may be downsampled. A pixel value histogram based on pixel values of the downsampled images may be constructed. The pixel value histogram may be compared to one or more reference pixel value histograms. A payload TET may be determined based on comparing the pixel value histogram to the one or more reference pixel value histograms.

    Abstract translation: 可以捕获场景的多个图像。 可以使用不同的总曝光时间（TET）来捕获多个图像中的每个图像。 可以对多个图像中的图像进行下采样。 可以构建基于下采样图像的像素值的像素值直方图。 像素值直方图可以与一个或多个参考像素值直方图进行比较。 可以基于将像素值直方图与一个或多个参考像素值直方图进行比较来确定有效载荷TET。

    Color correcting virtual long exposures with true long exposures
    20.
    发明授权
    Color correcting virtual long exposures with true long exposures 有权
    使用真正长时间曝光的颜色校正虚拟长时间曝光

    公开(公告)号：US09131201B1

    公开(公告)日：2015-09-08

    申请号：US13902267

    申请日：2013-05-24

    Applicant: Google Inc.

    Inventor： Ryan Geiss

    IPC: H04N5/238 ,  H04N9/77 ,  H04N5/235 ,  H04N5/355

    CPC classification number: H04N5/35581 ,  H04N5/235 ,  H04N5/2355

    Abstract: A gain may be applied to a short-exposure image to form a virtual long-exposure image. The short-exposure image may have been captured using a short total exposure time (TET), the virtual long-exposure image may have a virtual long TET, and the virtual long TET may be greater than the short TET. A true long-exposure image may be captured using a true long TET. The true long TET may be substantially equal to the virtual long TET. Color values of at least some pixels of the true long-exposure image may be copied to corresponding pixels of the virtual long-exposure image.

    Abstract translation: 可以将增益应用于短曝光图像以形成虚拟长曝光图像。 可以使用短的总曝光时间（TET）捕获短曝光图像，虚拟长时间曝光图像可以具有虚拟长TET，并且虚拟长TET可以大于短TET。 可以使用真正的长TET来捕获真实的长时间曝光图像。 真实的长TET可以基本上等于虚拟长TET。 真实长曝光图像的至少一些像素的颜色值可以被复制到虚拟长时间曝光图像的相应像素。

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