公开(公告)号：US20170318233A1

公开(公告)日：2017-11-02

申请号：US15647511

申请日：2017-07-12

Applicant: Google Inc.

Inventor： Ryan Geiss ,  Changyin Zhou ,  Samuel William Hasinoff

IPC: H04N5/265 ,  G06T7/90 ,  G06F17/30 ,  H04N5/357 ,  G06K9/62

CPC classification number: H04N5/265 ,  G06F16/51 ,  G06F16/5838 ,  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.

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。

公开(公告)号：US20140293079A1

公开(公告)日：2014-10-02

申请号：US13855054

申请日：2013-04-02

Applicant: Google Inc

Inventor： Peyman Milanfar ,  Marc Stewart Levoy ,  Samuel William Hasinoff ,  Changyin Zhou

IPC: H04N5/232

CPC classification number: H04N5/2171 ,  H04N5/23222

Abstract: The present disclosure provides example methods operable by computing device. An example method can include receiving an image from a camera. The method can also include comparing one or more parameters of the image with one or more control parameters, where the one or more control parameters comprise information indicative of an image from a substantially unobstructed camera. Based on the comparison, the method can also include determining a score between the one or more parameters of the image and the one or more control parameters. The method can also include accumulating, by a computing device, a count of a number of times the determined score image exceeds a first threshold. Based on the count exceeding a second threshold, the method can also include determining that the camera is at least partially obstructed.

Abstract translation: 本公开提供了可由计算设备操作的示例方法。 示例性方法可以包括从相机接收图像。 该方法还可以包括将图像的一个或多个参数与一个或多个控制参数进行比较，其中一个或多个控制参数包括指示来自基本上无障碍的相机的图像的信息。 基于比较，该方法还可以包括确定图像的一个或多个参数与一个或多个控制参数之间的得分。 该方法还可以包括由计算设备累积所确定的分数图像超过第一阈值的次数的计数。 基于超过第二阈值的计数，该方法还可以包括确定相机至少部分地被阻挡。

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。