公开(公告)号：US20230308769A1

公开(公告)日：2023-09-28

申请号：US17704275

申请日：2022-03-25

Applicant: Google LLC

Inventor： Tianfan Xue ,  Samuel William Hasinoff ,  Rachit Gupta

IPC: H04N5/235 ,  G06T7/11 ,  G06V20/70 ,  G06V10/70 ,  G06V40/10 ,  G06F3/04847 ,  G06F3/04842

CPC classification number: H04N5/2353 ,  G06T7/11 ,  G06V20/70 ,  G06V10/70 ,  G06V40/10 ,  G06F3/04847 ,  G06F3/04842 ,  H04N5/2355 ,  G06T2207/20081 ,  G06T2207/10016 ,  G06T2200/24 ,  G06T2207/30196 ,  G06T2207/20084 ,  G06T2207/20104

Abstract: An example method includes displaying, by a graphical user interface of a computing device, an image comprising a target region. The target region may be smaller than an entirety of the image. The method includes providing, by the graphical user interface, a user-adjustable control to adjust a desired local brightness exposure level for the target region. The method includes receiving, by the user-adjustable control, a user indication of the desired local brightness exposure level for the target region. The method includes adjusting the local brightness exposure level for the target region in the image in response to the user indication.

公开(公告)号：US20190116304A1

公开(公告)日：2019-04-18

申请号：US16217704

申请日：2018-12-12

Applicant: Google LLC

Inventor： Samuel William Hasinoff ,  Jiawen Chen

IPC: H04N5/235 ,  H04N5/355 ,  H04N1/21 ,  H04N5/232

CPC classification number: H04N5/2353 ,  H04N1/2137 ,  H04N5/23216 ,  H04N5/23293 ,  H04N5/2355 ,  H04N5/35581

Abstract: An image sensor of an image capture device may capture an image. The captured image may be stored in a buffer of two or more previously-captured images. An oldest image of the two or more previously-captured images may be removed from the buffer. An aggregate image of the images in the buffer may be updated. This updating may involve subtracting a representation of the oldest image from the aggregate image, and adding a representation of the captured image to the aggregate image. A viewfinder of the image capture device may display a representation of the aggregate image.

公开(公告)号：US10523875B2

公开(公告)日：2019-12-31

申请号：US16217704

申请日：2018-12-12

Applicant: Google LLC

Inventor： Samuel William Hasinoff ,  Jiawen Chen

IPC: H04N5/235 ,  H04N1/21 ,  H04N5/232 ,  H04N5/355

Abstract: An image sensor of an image capture device may capture an image. The captured image may be stored in a buffer of two or more previously-captured images. An oldest image of the two or more previously-captured images may be removed from the buffer. An aggregate image of the images in the buffer may be updated. This updating may involve subtracting a representation of the oldest image from the aggregate image, and adding a representation of the captured image to the aggregate image. A viewfinder of the image capture device may display a representation of the aggregate image.

公开(公告)号：US12256151B2

公开(公告)日：2025-03-18

申请号：US17704275

申请日：2022-03-25

Applicant: Google LLC

Inventor： Tianfan Xue ,  Samuel William Hasinoff ,  Rachit Gupta

IPC: G06T7/11 ,  G06F3/04842 ,  G06F3/04847 ,  G06V10/70 ,  G06V20/70 ,  G06V40/10 ,  H04N23/63 ,  H04N23/73 ,  H04N23/741

Abstract: An example method includes displaying, by a graphical user interface of a computing device, an image comprising a target region. The target region may be smaller than an entirety of the image. The method includes providing, by the graphical user interface, a user-adjustable control to adjust a desired local brightness exposure level for the target region. The method includes receiving, by the user-adjustable control, a user indication of the desired local brightness exposure level for the target region. The method includes adjusting the local brightness exposure level for the target region in the image in response to the user indication.

公开(公告)号：US11800235B2

公开(公告)日：2023-10-24

申请号：US17629992

申请日：2019-08-19

Applicant: GOOGLE LLC

Inventor： Ryan Geiss ,  Marc S. Levoy ,  Samuel William Hasinoff ,  Tianfan Xue

IPC: H04N23/73 ,  G06F3/04847

CPC classification number: H04N23/73 ,  G06F3/04847

Abstract: Apparatus and methods related to applying lighting models to images of objects are provided. A neural network can be trained to apply a lighting model to an input image. The training of the neural network can utilize confidence learning that is based on light predictions and prediction confidence values associated with lighting of the input image. A computing device can receive an input image of an object and data about a particular lighting model to be applied to the input image. The computing device can determine an output image of the object by using the trained neural network to apply the particular lighting model to the input image of the object.

公开(公告)号：US10187587B2

公开(公告)日：2019-01-22

申请号：US15097687

申请日：2016-04-13

Applicant: Google LLC

Inventor： Samuel William Hasinoff ,  Jiawen Chen

IPC: H04N5/235 ,  H04N5/238 ,  H04N1/21 ,  H04N5/232 ,  H04N5/355

Abstract: An image sensor of an image capture device may capture an image. The captured image may be stored in a buffer of two or more previously-captured images. An oldest image of the two or more previously-captured images may be removed from the buffer. An aggregate image of the images in the buffer may be updated. This updating may involve subtracting a representation of the oldest image from the aggregate image, and adding a representation of the captured image to the aggregate image. A viewfinder of the image capture device may display a representation of the aggregate image.