公开(公告)号：US12008738B2

公开(公告)日：2024-06-11

申请号：US17626069

申请日：2020-11-13

Applicant: Google LLC

Inventor： Rahul Garg ,  Neal Wadhwa ,  Pratul Preeti Srinivasan ,  Tianfan Xue ,  Jiawen Chen ,  Shumian Xin ,  Jonathan T. Barron

IPC: G06T5/73 ,  G06T5/50 ,  G06T7/50

CPC classification number: G06T5/73 ,  G06T5/50 ,  G06T7/50

Abstract: A method includes obtaining dual-pixel image data that includes a first sub-image and a second sub-image, and generating an in-focus image, a first kernel corresponding to the first sub-image, and a second kernel corresponding to the second sub-image. A loss value may be determined using a loss function that determines a difference between (i) a convolution of the first sub-image with the second kernel and (ii) a convolution of the second sub-image with the first kernel, and/or a sum of (i) a difference between the first sub-image and a convolution of the in-focus image with the first kernel and (ii) a difference between the second sub-image and a convolution of the in-focus image with the second kernel. Based on the loss value and the loss function, the in-focus image, the first kernel, and/or the second kernel, may be updated and displayed.

公开(公告)号：US20220375042A1

公开(公告)日：2022-11-24

申请号：US17626069

申请日：2020-11-13

Applicant: Google LLC

Inventor： Rahul Garg ,  Neal Wadhwa ,  Pratul Preeti Srinivasan ,  Tianfan Xue ,  Jiawen Chen ,  Shumian Xin ,  Jonathan T. Barron

IPC: G06T5/00 ,  G06T5/50 ,  G06T7/50

Abstract: A method includes obtaining dual-pixel image data that includes a first sub-image and a second sub-image, and generating an in-focus image, a first kernel corresponding to the first sub-image, and a second kernel corresponding to the second sub-image. A loss value may be determined using a loss function that determines a difference between (i) a convolution of the first sub-image with the second kernel and (ii) a convolution of the second sub-image with the first kernel, and/or a sum of (i) a difference between the first sub-image and a convolution of the in-focus image with the first kernel and (ii) a difference between the second sub-image and a convolution of the in-focus image with the second kernel. Based on the loss value and the loss function, the in-focus image, the first kernel, and/or the second kernel, may be updated and displayed.