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公开(公告)号：US20210035309A1
公开(公告)日：2021-02-04
申请号：US16969026
申请日：2019-03-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho KANG , Yunjae LIM , Hyungdal KWON , Cheon LEE
Abstract: An electronic device and a control method therefor are disclosed. A method for controlling an electronic device according to the present invention comprises the steps of: receiving a current frame; determining a region, within the current frame, where there is a movement, on the basis of a prior frame and the current frame; inputting the current frame into an artificial intelligence learning model on the basis of the region where there is the movement, to obtain information relating to at least one object included in the current frame; and determining the object included in the region where there is the movement, by using the obtained information relating to the at least one object. Therefore, electronic device can rapidly determine an object included in a frame configuring a captured image.
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公开(公告)号：US20240144455A1
公开(公告)日：2024-05-02
申请号：US18406798
申请日：2024-01-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jaesung PARK , Jiman KIM , Cheon LEE , Seongwoon JUNG
CPC classification number: G06T7/0002 , G06T3/40 , G06T7/62 , G06T7/70 , G06V10/25 , G06T2207/20084 , G06T2207/30168 , G06V2201/07
Abstract: Disclosed is an image processing method including obtaining, from a first image, object information of an important object included in the first image, obtaining control information for image quality processing, and obtaining a second image by performing image quality processing on the important object from the first image based on the object information and user control information.
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公开(公告)号：US20200380363A1
公开(公告)日：2020-12-03
申请号：US16970859
申请日：2019-02-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyungdal KWON , Sungho KANG , Cheon LEE , Yunjiae LIM
IPC: G06N3/08
Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications. In particular, the disclosure provides a method of controlling data input and output of a fully connected network according to an artificial intelligence system and its applications, the method including receiving, from a learning circuit, an edge sequence representing a connection relationship between nodes included in a current layer of the fully connected network, generating a compressed edge sequence that compresses consecutive invalid bits among bit strings constituting the edge sequence into one bit and a validity determination sequence determining valid and invalid bits among the bit strings constituting the compressed edge sequence, writing the compressed edge sequence and the validity determination sequence to the memory, and sequentially reading the compressed edge sequences from the memory based on the validity determination sequence such that the valid bits are sequentially output to the learning circuit.
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公开(公告)号：US20240078631A1
公开(公告)日：2024-03-07
申请号：US18506755
申请日：2023-11-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon LEE , Donghyun KIM , Yongsup PARK , Jaeyeon PARK , Iljun AHN , Hyunseung LEE , Taegyoung AHN , Youngsu MOON , Tammy LEE
CPC classification number: G06T3/403 , G06T3/4053 , G06T7/13 , G06V10/82 , G06T2207/20081
Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US20220076375A1
公开(公告)日：2022-03-10
申请号：US17527732
申请日：2021-11-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon LEE , Donghyun KIM , Yongsup PARK , Jaeyeon PARK , lljun AHN , Hyunseung LEE , Taegyoung AHN , Youngsu MOON , Tammy LEE
Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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Patent Agency Ranking
公开(公告)号：US20190258932A1
公开(公告)日：2019-08-22
申请号：US16281737
申请日：2019-02-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sungho KANG , Hyungdal KWON , Cheon LEE , Yunjae LIM
Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.
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公开(公告)号：US20250078228A1
公开(公告)日：2025-03-06
申请号：US18949750
申请日：2024-11-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon LEE
Abstract: Disclosed is an image processing device and method including obtaining a first differential image having a resolution greater than a resolution of an input image and a parameter value for a tone curve by applying the input image to a neural network, obtaining a plurality of filtered images for different frequency bands by filtering the first differential image, and applying, to each filtered image among the plurality of filtered images, gain values corresponding to a sample value of an edge map of a first image upscaled from the input image.
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公开(公告)号：US20200372608A1
公开(公告)日：2020-11-26
申请号：US16838650
申请日：2020-04-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon LEE , Donghyun KIM , Yongsup PARK , Jaeyeon PARK , Iljun AHN , Hyunseung LEE , Taegyoung AHN , Youngsu MOON , Tammy LEE
Abstract: An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US20200349677A1
公开(公告)日：2020-11-05
申请号：US16862958
申请日：2020-04-30
Inventor： Hyunseung LEE , MunChurl KIM , Yongwoo KIM , Jae Seok CHOI , Youngsu MOON , Cheon LEE
Abstract: An image processing apparatus obtains a first output image by applying an image to a first training network model, obtains a second output image by applying the image to a second training network model, and obtains a reconstructed image based on the first output image and the second output image. The first training network model is a model that uses a fixed parameter obtained through training of a plurality of sample images, the second training network model is trained to minimize a difference between a target image corresponding to the image and the reconstructed image.
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10.发明申请IMAGE PROCESSING APPARATUS, DISPLAY APPARATUS, AND METHOD OF PROCESSING IMAGE THEREOF 审中-公开图像处理装置，显示装置及其图像处理方法公开(公告)号：US20160098821A1
公开(公告)日：2016-04-07
申请号：US14862325
申请日：2015-09-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Cheon LEE , Jin-woo JEONG , Seung-hoon HAN
IPC: G06T5/00
CPC classification number: G06T5/002 , G06T5/004 , G06T2207/20012
Abstract: A method of processing an image is provided. The method includes performing a noise filtering operation with respect to an input image, acquiring a differential image where an image to which the noise filtering operation is performed is excluded from the input image and removing a noise in a level higher than a predetermined level from the differential image, and acquiring an output image by adding the differential image from which the noise is removed and the image to which the noise filtering operation is performed.
Abstract translation: 提供了一种处理图像的方法。 该方法包括对输入图像执行噪声滤波操作，获取差分图像，其中执行噪声滤波操作的图像被从输入图像中排除，并从高于预定水平的水平去除噪声 差分图像，以及通过将去除噪声的差分图像和进行噪声滤波操作的图像相加来获取输出图像。
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