Invention Grant
- Patent Title: Image enhancement system and method based on generative adversarial network (GAN) model
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Application No.: US17830826Application Date: 2022-06-02
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Publication No.: US11694307B2Publication Date: 2023-07-04
- Inventor: Huajie Zeng , Yixiang Fang
- Applicant: Huajie Zeng
- Applicant Address: CN Ningbo
- Assignee: Huajie Zeng
- Current Assignee: Huajie Zeng
- Current Assignee Address: CN Ningbo
- Priority: CN 2210193152.2 2022.02.28
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/50 ; G06V10/764 ; G06V20/58 ; G06V10/774

Abstract:
An image enhancement system and method based on a generative adversarial network (GAN) model. The image enhancement system includes an acquiring unit, a training unit and an enhancement unit. The acquiring unit is configured to acquire a first image of a driving environment captured by a camera of a first vehicle and a second image of the driving environment captured by a camera of a second vehicle. The training unit is configured to train a GAN by using the first training image to obtain an image enhancement model. The enhancement unit is configured to enhance the second image by inputting the second image into the image enhancement model.
Public/Granted literature
- US20220292642A1 IMAGE ENHANCEMENT SYSTEM AND METHOD BASED ON GENERATIVE ADVERSARIAL NETWORK (GAN) MODEL Public/Granted day:2022-09-15
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