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公开(公告)号:US11206352B2
公开(公告)日:2021-12-21
申请号:US16937384
申请日:2020-07-23
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yinting Wang , Xi Zhang , Yifan Zhang , Jinwei Chen , Haidong Gao , Changqi Hu , Ruihua Li
Abstract: The present disclosure discloses a method for image or video shooting. The method is applied to a terminal that includes a first camera, a second camera, and a third camera. The second camera is a black-and-white camera, and the first camera, the second camera, and the third camera are cameras using prime lenses. The third camera is a color camera using a tele-photo lens. The method includes determining at least one camera from the first camera, the second camera, and the third camera based on a target zoom ratio as a target camera. The method further includes capturing, by using the target camera, at least one image that includes a target scene. The method further includes obtaining an output image of the target scene based on the at least one image that includes the target scene. According to the present disclosure, an approximately 5× lossless zoom effect is achieved.
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公开(公告)号:US12159373B2
公开(公告)日:2024-12-03
申请号:US17934697
申请日:2022-09-23
Applicant: Huawei Technologies Co., Ltd.
Inventor: Weihang Shao , Yinting Wang , Yifan Zhang , Liping Zhang
Abstract: This application discloses an image processing method and apparatus, and relates to the field of image processing technologies, to help optimize a color, a contrast, or a dynamic range of an image, so that an optimized image can be more objective, and robustness is improved. The method is applied to a terminal including a first camera and a second camera. The method includes: when an ISO of the first camera in a current photographing environment is greater than a first threshold, capturing a first image for a first scenario in the current photographing environment; capturing a second image for the first scenario; and optimizing the first image based on the second image to obtain a third image. An image style of the second image is better than that of the first image.
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公开(公告)号:US20150154776A1
公开(公告)日:2015-06-04
申请号:US14496845
申请日:2014-09-25
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yifan Zhang , Cheng Du , Min Chen
IPC: G06T11/60
CPC classification number: G06T11/60 , G06T3/0012 , G06T3/4038
Abstract: The present invention relates to an image splicing method and apparatus. The image splicing method includes: acquiring a first image and a second image; determining a to-be-processed region within the overlapping region, where a region within the overlapping region except the to-be-processed region is a remaining region; obtaining a weight value of each adjacent pixel pair of the remaining region; setting a weight value of an adjacent pixel pair within the to-be-processed region; determining a splicing path having the least seam line intensity of all splicing paths; and performing image splicing on the first image and the second image along the optimal seam line. According to the image splicing method and apparatus of the present invention, a seam line can be excluded from a to-be-processed region, so as to ensure that the to-be-processed region is spliced naturally and to improve subjective perception of a user in viewing an image.
Abstract translation: 图像拼接方法和装置技术领域本发明涉及一种图像拼接方法和装置。 图像拼接方法包括:获取第一图像和第二图像; 确定所述重叠区域内的待处理区域,其中所述重叠区域中除被处理区域之外的区域是剩余区域; 获得剩余区域的每个相邻像素对的权重值; 设置待处理区域内相邻像素对的权重值; 确定具有所有拼接路径的最小接缝线强度的拼接路径; 并且沿着最佳接缝线在第一图像和第二图像上执行图像拼接。 根据本发明的图像拼接方法和装置,可以从被处理区域中排除接缝线,以确保待处理区域自然地拼接并改善主观感知 用户查看图像。
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公开(公告)号:US20220207680A1
公开(公告)日:2022-06-30
申请号:US17698698
申请日:2022-03-18
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yinting Wang , Xi Zhang , Ruihua Li , Liping Zhang , Yining Huang , Yi Lei , Zuquan Zheng , Yifan Zhang , Xin Li , Xiaowei Yang
Abstract: An image processing method includes obtaining a plurality of frames of raw images. After preprocessing such as image alignment, channel splitting or pixel rearrangement is performed on the obtained plurality of frames of raw images, detail restoration is performed on an image based on a deep learning network, and luminance enhancement and color enhancement are performed on an image output by the deep learning network. A plurality of types of processing related to detail restoration are integrated into a same deep learning network.
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公开(公告)号:US09196071B2
公开(公告)日:2015-11-24
申请号:US14496845
申请日:2014-09-25
Applicant: Huawei Technologies Co., Ltd.
Inventor: Yifan Zhang , Cheng Du , Min Chen
CPC classification number: G06T11/60 , G06T3/0012 , G06T3/4038
Abstract: The present invention relates to an image splicing method and apparatus. The image splicing method includes: acquiring a first image and a second image; determining a to-be-processed region within the overlapping region, where a region within the overlapping region except the to-be-processed region is a remaining region; obtaining a weight value of each adjacent pixel pair of the remaining region; setting a weight value of an adjacent pixel pair within the to-be-processed region; determining a splicing path having the least seam line intensity of all splicing paths; and performing image splicing on the first image and the second image along the optimal seam line. According to the image splicing method and apparatus of the present invention, a seam line can be excluded from a to-be-processed region, so as to ensure that the to-be-processed region is spliced naturally and to improve subjective perception of a user in viewing an image.
Abstract translation: 图像拼接方法和装置技术领域本发明涉及一种图像拼接方法和装置。 图像拼接方法包括:获取第一图像和第二图像; 确定所述重叠区域内的待处理区域,其中所述重叠区域中除被处理区域之外的区域是剩余区域; 获得剩余区域的每个相邻像素对的权重值; 设置待处理区域内相邻像素对的权重值; 确定具有所有拼接路径的最小接缝线强度的拼接路径; 并且沿着最佳接缝线在第一图像和第二图像上执行图像拼接。 根据本发明的图像拼接方法和装置,可以从被处理区域中排除接缝线,以确保待处理区域自然地拼接并改善主观感知 用户查看图像。
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