Invention Grant
- Patent Title: Learning-based lens flare removal
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Application No.: US17625994Application Date: 2020-11-09
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Publication No.: US12033309B2Publication Date: 2024-07-09
- Inventor: Yicheng Wu , Qiurui He , Tianfan Xue , Rahul Garg , Jiawen Chen , 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/US2020/059661 2020.11.09
- International Announcement: WO2022/066194A 2022.03.31
- Date entered country: 2022-01-10
- Main IPC: G06T7/80
- IPC: G06T7/80 ; G06T3/40 ; G06T5/10 ; G06T5/20 ; G06T5/80

Abstract:
A method includes obtaining an input image that contains a particular representation of lens flare, and processing the input image by a machine learning model to generate a de-flared image that includes the input image with at least part of the particular representation of lens flare removed. The machine learning (ML) model may be trained by generating training images that combine respective baseline images with corresponding lens flare images. For each respective training image, a modified image may be determined by processing the respective training image by the ML model, and a loss value may be determined based on a loss function comparing the modified image to a corresponding baseline image used to generate the respective training image. Parameters of the ML model may be adjusted based on the loss value determined for each respective training image and the loss function.
Public/Granted literature
- US20220375045A1 Learning-Based Lens Flare Removal Public/Granted day:2022-11-24
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