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公开(公告)号:US20250037242A1
公开(公告)日:2025-01-30
申请号:US18591631
申请日:2024-02-29
Applicant: Huawei Technologies Co., Ltd.
Inventor: Huazhen Wu , Jun Ji , Pengchao Zhan
IPC: G06T5/60 , G06T5/50 , G06T7/70 , G06V10/25 , G06V10/774 , G06V10/776 , G06V10/82
Abstract: A data processing method includes obtaining first frame data, where the first frame data is one frame in raw data collected by an image sensor; obtaining data corresponding to a compact box, to obtain first data, where coverage of the compact box in the first frame data includes a target object detected from the first frame data; obtaining data corresponding to a loose box, to obtain second data, where coverage of the loose box in the first frame data includes and is larger than the coverage of the compact box in the first frame data; and using the first data and the second data as inputs of a target network, to obtain an output image, where the target network is used to extract information about a plurality of channels in the input data, and obtain the output image based on the information about the channels.
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2.
公开(公告)号:US20230214976A1
公开(公告)日:2023-07-06
申请号:US18176240
申请日:2023-02-28
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Huazhen Wu , Tingting Xu , Zhijuan Huang
CPC classification number: G06T5/50 , G06T5/002 , G06T2207/20221 , G06T2207/10048 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
Abstract: An image fusion method and apparatus and a training method and apparatus for an image fusion model are provided, which relate to the field of artificial intelligence, and specifically, to the field of computer vision. The image fusion method includes: obtaining a to-be-processed color image, an infrared image, and a background reference image, where the infrared image and the to-be-processed color image are shot for a same scene; and inputting the to-be-processed color image, the infrared image, and the background reference image into an image fusion model for feature extraction, and performing image fusion based on extracted features to obtain a fused image. This method can improve image quality of a fused image, and also ensure accurate and natural color of the fused image.
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