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公开(公告)号:US20230282024A1
公开(公告)日:2023-09-07
申请号:US18197265
申请日:2023-05-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seohyung LEE , Jaehyoung YOO , Jinwoo SON , Changyong SON , Sangil JUNG , Changin CHOI
IPC: G06V40/16
CPC classification number: G06V40/161
Abstract: Disclosed is a method and apparatus for face detection using an adaptive threshold. The method includes determining a detection box in an input image, calculating a confidence score indicating whether an object in the detection box corresponds to a face, setting an adaptive threshold based on a size of the detection box, and determining whether the object in the detection box corresponds to a face based on comparing the confidence score to the adaptive threshold.
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公开(公告)号:US20240386533A1
公开(公告)日:2024-11-21
申请号:US18509534
申请日:2023-11-15
Inventor: Jaehyoung YOO , Donghun RYOU , Hyewon YOO , Bohyung HAN
Abstract: An electronic device includes: one or more processors configured to: generate a transformed frequency image by transforming an input image into a frequency domain; obtain a frequency filter corresponding to the input image by inputting the generated transformed frequency image to a filter generation neural network; and generate an output image in which a noise distribution of the input image is normalized by applying the obtained frequency filter to the generated transformed frequency image.
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公开(公告)号:US20240054618A1
公开(公告)日:2024-02-15
申请号:US18337899
申请日:2023-06-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kinam KWON , Jaehyoung YOO , Junsang YU , Sangwon LEE , Hyong Euk LEE
Abstract: A neural network-based image processing method and apparatus are provided. A method includes receiving input image data comprising original image data, when a current image processing mode is an independent processing mode, generating first intermediate image data by executing a main neural network based on the original image data and by not executing an auxiliary neural network based on the original image data, when the current image processing mode is in a cooperative processing mode, generating second intermediate image data by determining an auxiliary parameter by executing the auxiliary neural network based on the original image data and by executing the main neural network based on the original image data and based on the auxiliary parameter, and generating output image data by operating an image signal processing (ISP) block based the first intermediate image data or the second intermediate image data according to the current image processing mode.
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公开(公告)号:US20240020808A1
公开(公告)日:2024-01-18
申请号:US18091239
申请日:2022-12-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehyoung YOO , Kinam KWON , Junsang YU , Hyong Euk LEE
CPC classification number: G06T5/50 , G06T5/20 , G06T2207/20084 , G06T2207/20224 , G06T2207/20024
Abstract: An image restoration method and apparatus are provided. The image restoration method includes determining auxiliary data corresponding to a plurality of filter kernels by filtering target data with the plurality of filter kernels, determining new input data by combining the auxiliary data with at least some input data of layers of a neural network-based image restoration model, generating, based on the new input data, a restored image of the input image by executing the neural network-based image restoration model, wherein the filter kernels are not part of the neural network-based image restoration model.
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公开(公告)号:US20210201447A1
公开(公告)日:2021-07-01
申请号:US17019657
申请日:2020-09-14
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sangil JUNG , Dongwook LEE , Jinwoo SON , Changyong SON , Jaehyoung YOO , Seohyung LEE , Changin CHOI , Jaejoon HAN
Abstract: A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.
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公开(公告)号:US20220092394A1
公开(公告)日:2022-03-24
申请号:US17245144
申请日:2021-04-30
Applicant: SAMSUNG ELECTRONICS CO., LTD
Inventor: Dongwook LEE , Changyong SON , Jinwoo SON , Jaehyoung YOO , Jaejoon HAN
Abstract: Provided is a method and apparatus with neural network operation. The method includes generating a first intermediate operation result by performing a first-order partial operation of a neural network layer on a first input line of a first area of a frame, generating a second intermediate operation result by performing another first-order partial operation of the neural network layer on a second input line of the first area, and generating an objective operation result of the neural network layer with respect to the first area based on a second-order partial operation performed on the first intermediate operation result and the second intermediate operation result.
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公开(公告)号:US20210279568A1
公开(公告)日:2021-09-09
申请号:US17015122
申请日:2020-09-09
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jaehyoung YOO , Jinwoo SON , Changyong SON , Seohyung LEE , Sangil JUNG , Changin CHOI
Abstract: Disclosed are methods and apparatuses for processing a convolution operation on a layer in a neural network. The method includes extracting a first target feature vector from a target feature map, extracting a first weight vector matched with the first target feature vector from a first-type weight element, based on matching relationships for depth-wise convolution operations between target feature vectors of the target feature map and weight vectors of the first-type weight element, generating a first intermediate feature vector by performing multiplication between the first target feature vector and the first weight vector, generating a first hidden feature vector by accumulating the first intermediate feature vector and a second intermediate feature vector generated based on a second target feature vector, and generating a first output feature vector of an output feature map based on a point-wise convolution operation between the first hidden feature vector and a second-type weight element.
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公开(公告)号:US20210142041A1
公开(公告)日:2021-05-13
申请号:US17075164
申请日:2020-10-20
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seohyung LEE , Jaehyoung YOO , Jinwoo SON , Changyong SON , Sangil JUNG , Changin CHOI
Abstract: Disclosed is a method and apparatus for face detection using an adaptive threshold. The method includes determining a detection box in an input image, calculating a confidence score indicating whether an object in the detection box corresponds to a face, setting an adaptive threshold based on a size of the detection box, and determining whether the object in the detection box corresponds to a face based on comparing the confidence score to the adaptive threshold.
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公开(公告)号:US20240420443A1
公开(公告)日:2024-12-19
申请号:US18818219
申请日:2024-08-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sangil JUNG , Dongwook LEE , Jinwoo SON , Changyong SON , Jaehyoung YOO , Seohyung LEE , Changin CHOI , Jaejoon HAN
IPC: G06V10/28 , G06F18/214 , G06F18/24 , G06T3/4046 , G06V20/10
Abstract: A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.
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公开(公告)号:US20230179024A1
公开(公告)日:2023-06-08
申请号:US17973907
申请日:2022-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Woosup LEE , Jaehyoung YOO , Jaedeok LIM , Taejun LIM , Hana CHOE
CPC classification number: H02J50/10 , H01F27/2885 , H01F7/0205
Abstract: An example electronic device includes a battery, a coil antenna that transmits power of the battery, a shield disposed on a lower surface of the coil antenna, and a plurality of magnet modules formed to surround at least a portion of a side surface of the coil antenna. Each of the plurality of magnet modules includes an inner part that faces toward the side surface of the coil antenna, an outer part that faces toward an opposite side to the coil antenna, and a non-magnetized area disposed between the inner part and the outer part. The inner part includes a first inner area and a second inner area over the first inner area, and the outer part includes a first outer area and a second outer area over the first outer area. The first inner area and the second outer area are magnetized with a first polarity, and the second inner area and the first outer area are magnetized with a second polarity opposite to the first polarity.
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