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公开(公告)号:US20250095322A1
公开(公告)日:2025-03-20
申请号:US18808629
申请日:2024-08-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chunmiao LI , Zheng Xie , Jianxing Zhang , Zikun Liu , Xiaopeng Li , Jongbum Choi
Abstract: The present disclosure provides a method performed by an electronic device, an electronic device, a storage medium and a program product, relating to the field of computer vision, image processing and artificial intelligence. The method includes: extracting at least one object center area and at least one object boundary area from a first image; and aligning the extracted object center area with the object boundary area to obtain an object segmentation result of the first image.
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公开(公告)号:US11967045B2
公开(公告)日:2024-04-23
申请号:US17272866
申请日:2019-09-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zikun Liu , Chunying Li , Han Qiu , Yinglu Liu
IPC: G06T3/4053 , G06N3/08 , G06T3/4046
CPC classification number: G06T3/4053 , G06N3/08 , G06T3/4046
Abstract: An image processing method comprises obtaining an input image; converting the input image or a feature map of the input image into a plurality of target input images or target feature maps, wherein a resolution of each of the target input images or the target feature maps is smaller than a resolution of the feature map of the input image or the input image, and pixels at the same position in each of the target input images or the target feature maps are of a neighborhood relationship with the input image or the feature map of the input image; processing at least a part of the plurality of target input images or target feature maps by one or more convolution blocks in a convolutional neural network; and increasing a resolution of a feature map output from the one or more convolution blocks in the convolutional neural network.
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公开(公告)号:US11887218B2
公开(公告)日:2024-01-30
申请号:US17528051
申请日:2021-11-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jianxing Zhang , Zikun Liu , Chunyang Li , Jian Yang , Wei Wen
CPC classification number: G06T11/001 , G06T3/4046 , G06T5/001
Abstract: The disclosure provides an image optimization method, system, and storage medium. The image optimization method includes extracting texture quality information from an input image. The texture quality information indicates a spatial distribution of texture quality in the input image. The image optimization method also includes performing, according to the texture quality information, texture restoration on a set region in the input image to generate a texture restored image.
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