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公开(公告)号:US20250069199A1
公开(公告)日:2025-02-27
申请号:US18945107
申请日:2024-11-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Nazrinbanu Nurmohammad NAGORI , Mrinmoy SEN , Venkat Ramana PEDDIGARI , Sai Pradyumna CHERMALA , Praful MATHUR , Darshana Venkatesh MURTHY , Moonhwan JEONG
Abstract: A method may include: receiving, by a first camera of a multi-camera device, a first image of an input scene; identifying at least one shadow in the first image; determining at least one of at least one property of the at least one shadow or a region of interest (ROI) of the at least one shadow in the first image; applying at least one configuration to a second camera for obtaining a second image of the input scene based on the at least one of at least one property of the at least one shadow or the ROI of the at least one shadow, to identify at least one additional context of the input scene, where the at least one additional context is not obtained using the first camera; and removing the at least one shadow from the first image, based on the first image and the second image.
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公开(公告)号:US20250148748A1
公开(公告)日:2025-05-08
申请号:US19016900
申请日:2025-01-10
Applicant: Samsung electronics Co., LTD.
Inventor: Praful MATHUR , Shashi Kumar Parwani , Darshana Venkatesh Murthy , Roopa Kotiganahally Sheshadri , Aman Sharma , Veerendra K Shetty , Sunmin Park
Abstract: Provided are a method and electronic device for interactive image segmentation. The method includes receiving one or more user inputs for segmenting at least one object from among a plurality of objects in an image. The method includes generating a unified guidance map indicates the at least one object to be segmented based on the one or more user inputs. The method includes generating a complex supervision image based on the unified guidance map. The method includes segmenting the at least one object from the image by passing the image, the complex supervision image and the unified guidance map through an adaptive Neural Network (NN) model. The method includes storing the at least one segmented object from the image. Further, the method include configuring the parameters of an adaptive Neural Network based on color complexity analysis, edge complexity analysis and geometry complexity analysis.
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公开(公告)号:US20240404010A1
公开(公告)日:2024-12-05
申请号:US18798017
申请日:2024-08-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Praful MATHUR , Siddhant KHANDELWAL , Mrinmoy SEN , Sai Pradyumna CHERMALA , Nazrinbanu Nurmohammad NAGORI , Venkat Ramana PEDDIGARI , Darshana Venkatesh MURTHY , Moonhwan JEONG
Abstract: A method for generating one or more artifact images is disclosed. The method includes obtaining one or more artifact free images and one or more artifacts represented by one or more artifact masks; obtaining a region of interest (ROI) mask identifying one or more ROIs in the one or more artifact free images; generating one or more transformed artifact masks by applying at least one localization parameter amongst a plurality of localization parameters to the one or more artifact masks; generating one or more localized artifact masks by placing the one or more transformed artifact masks on the ROI mask; and generating one or more artifact images by combining the one or more artifact free images and the one or more localized artifact masks.
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