Invention Grant
- Patent Title: Defocus blur removal and depth estimation using dual-pixel image data
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Application No.: US17626069Application Date: 2020-11-13
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Publication No.: US12008738B2Publication Date: 2024-06-11
- Inventor: Rahul Garg , Neal Wadhwa , Pratul Preeti Srinivasan , Tianfan Xue , Jiawen Chen , Shumian Xin , Jonathan T. Barron
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- International Application: PCT/US2020/060517 2020.11.13
- International Announcement: WO2022/103400A 2022.05.19
- Date entered country: 2022-01-11
- Main IPC: G06T5/73
- IPC: 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.
Public/Granted literature
- US20220375042A1 Defocus Blur Removal and Depth Estimation Using Dual-Pixel Image Data Public/Granted day:2022-11-24
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