- 专利标题: Defocus Blur Removal and Depth Estimation Using Dual-Pixel Image Data
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申请号: US17626069申请日: 2020-11-13
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公开(公告)号: US20220375042A1公开(公告)日: 2022-11-24
- 发明人: Rahul Garg , Neal Wadhwa , Pratul Preeti Srinivasan , Tianfan Xue , Jiawen Chen , Shumian Xin , Jonathan T. Barron
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 国际申请: PCT/US2020/060517 WO 20201113
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G06T5/50 ; G06T7/50
摘要:
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.
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