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    Determining an image capture payload burst structure
    1.
    发明授权
    Determining an image capture payload burst structure 有权
    确定图像捕获有效载荷突发结构

    公开(公告)号：US09087391B2

    公开(公告)日：2015-07-21

    申请号：US13713734

    申请日：2012-12-13

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Samuel William Hasinoff

    IPC: G06T5/50 ,  H04N5/235 ,  H04N5/335 ,  H04N5/355

    CPC classification number: A61B5/0478 ,  A61B5/0084 ,  A61B5/01 ,  A61B5/0484 ,  A61B2562/0209 ,  A61B2562/028 ,  A61N1/0529 ,  A61N5/0601 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20221 ,  H04N5/2355 ,  H04N5/35554

    Abstract: A first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured using a different TET. Based at least on the first plurality of images, a long TET, a short TET, and a TET sequence that includes the long TET and the short TET may be determined. A second plurality of images of the scene may be captured. The images in the second plurality of images may be captured sequentially in an image sequence using a sequence of TETs corresponding to the TET sequence. Based on one or more images in the image sequence, an output image may be constructed.

    Abstract translation: 可以捕获场景的第一多个图像。 可以使用不同的TET来捕获第一多个图像的每个图像。 至少基于第一多个图像，可以确定包括长TET和短TET的长TET，短TET和TET序列。 可以捕获场景的第二多个图像。 可以使用对应于TET序列的TET序列，以图像序列顺序地捕获第二多个图像中的图像。 基于图像序列中的一个或多个图像，可以构造输出图像。

    Structure Descriptors for Image Processing
    2.
    发明申请
    Structure Descriptors for Image Processing 有权
    图像处理的结构描述符

    公开(公告)号：US20140198987A1

    公开(公告)日：2014-07-17

    申请号：US13743565

    申请日：2013-01-17

    Applicant: Google Inc.

    Inventor： Samuel William Hasinoff ,  Changyin Zhou

    IPC: G06T5/00

    CPC classification number: G06T5/00 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T7/00 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20021 ,  H04N5/23229

    Abstract: A structure descriptor for an m×n pixel block of an image may be determined. The m×n pixel block may contain a primary pixel having a primary pixel value and a plurality of secondary pixels having respective secondary pixel values. The structure descriptor may include a plurality of structure indicators each associated with a respective secondary pixel. The respective structure indicators may be based on the primary pixel value and the respective secondary pixel value of the associated secondary pixel. Based on the structure descriptor, a structure value for the m×n pixel block may be determined. Based on the structure value, image processing may be applied to the m×n pixel block.

    Abstract translation: 可以确定图像的m×n像素块的结构描述符。 m×n像素块可以包含具有主像素值的主像素和具有相应次级像素值的多个次像素。 结构描述符可以包括多个结构指示符，每个结构指示符与相应的次要像素相关联。 相应的结构指示符可以基于相关联的次要像素的主要像素值和相应次要像素值。 基于结构描述符，可以确定m×n像素块的结构值。 基于结构值，图像处理可以应用于m×n像素块。

    Image merging with blending
    5.
    发明授权
    Image merging with blending 有权
    图像合并与混合

    公开(公告)号：US09117134B1

    公开(公告)日：2015-08-25

    申请号：US13847238

    申请日：2013-03-19

    Applicant: Google Inc.

    Inventor： Ryan Geiss ,  Samuel William Hasinoff

    IPC: G06K9/32

    CPC classification number: G06T5/40 ,  G06T5/009 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/10144 ,  G06T2207/20081 ,  G06T2207/20221

    Abstract: A base m×n tile, X, of a base image of a scene, and an alternate m×n tile, Y, of an alternate image of the scene may be obtained. An m×n blend map, B, for X and Y may also be obtained. B(i,j) may take on a first value to refer to X(i,j), or a second value to refer to Y(i,j). An m×n conflict map, C, for X and Y may further be obtained. C(i,j) may take on a third value where X(i,j) and Y(i,j) are within a threshold value of one another, or a fourth value where X(i,j) and Y(i,j) are not within the threshold value of one another. Based on B and C, the pixel values of X and Y may be merged to form an m×n tile Z.

    Abstract translation: 可以获得场景的基本图像的基本m×n瓦片X，以及场景的替代图像的交替m×n瓦片Y。 也可以获得X和Y的m×n混合图B。 B（i，j）可以取第一个值来引用X（i，j），或者第二个值来表示Y（i，j）。 可以进一步获得X和Y的m×n冲突图C。 C（i，j）可以取第三个值，其中X（i，j）和Y（i，j）在彼此的阈值之内，或第四个值，其中X（i，j）和Y ，j）不在彼此的阈值内。 基于B和C，可以将X和Y的像素值合并形成m×n瓦片Z。

    Structure descriptors for image processing
    7.
    发明授权
    Structure descriptors for image processing 有权
    图像处理的结构描述符

    公开(公告)号：US08995784B2

    公开(公告)日：2015-03-31

    申请号：US13743565

    申请日：2013-01-17

    Applicant: Google Inc.

    Inventor： Samuel William Hasinoff ,  Changyin Zhou

    IPC: G06K9/40 ,  G06K9/48 ,  G06T5/00

    CPC classification number: G06T5/00 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T7/00 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20021 ,  H04N5/23229

    Abstract: A structure descriptor for an m×n pixel block of an image may be determined. The m×n pixel block may contain a primary pixel having a primary pixel value and a plurality of secondary pixels having respective secondary pixel values. The structure descriptor may include a plurality of structure indicators each associated with a respective secondary pixel. The respective structure indicators may be based on the primary pixel value and the respective secondary pixel value of the associated secondary pixel. Based on the structure descriptor, a structure value for the m×n pixel block may be determined. Based on the structure value, image processing may be applied to the m×n pixel block.

    Abstract translation: 可以确定图像的m×n像素块的结构描述符。 m×n像素块可以包含具有主像素值的主像素和具有相应次级像素值的多个次像素。 结构描述符可以包括多个结构指示符，每个结构指示符与相应的次要像素相关联。 相应的结构指示符可以基于相关联的次要像素的主要像素值和相应次要像素值。 基于结构描述符，可以确定m×n像素块的结构值。 基于结构值，图像处理可以应用于m×n像素块。

    Determining an image capture payload burst structure based on a metering image capture sweep
    8.
    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：US08964060B2

    公开(公告)日：2015-02-24

    申请号：US14455444

    申请日：2014-08-08

    Applicant: Google Inc.

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

    IPC: H04N9/73 ,  H04N5/235 ,  G06T5/50 ,  G06K9/62

    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。

    Determining an image capture payload burst structure based on a metering image capture sweep
    10.
    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。

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