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公开(公告)号：US20240054606A1
公开(公告)日：2024-02-15
申请号：US18337774
申请日：2023-06-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Geonseok SEO , Sehwan KI , Jae Seok CHOI , Insoo KIM , Hyong Euk LEE
CPC classification number: G06T5/001 , G06T5/50 , G06T2207/20084
Abstract: A processor-implemented method includes: obtaining a plurality of image frames acquired for a scene within a predetermined time; determining loss values respectively corresponding to the plurality of image frames; determining a reference frame among the plurality of image frames based on the loss values; and generating a final image of the scene based on the reference frame.
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公开(公告)号：US20230071693A1
公开(公告)日：2023-03-09
申请号：US17869165
申请日：2022-07-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Eunhee KANG , Sehwan KI , Nahyup KANG , Kinam KWON , Hyong Euk LEE , Jae Seok CHOI
IPC: G06T5/00
Abstract: A processor-implemented method with degraded image restoration includes: receiving a degraded training image; training a first teacher network of an image restoration network and a second teacher network of the image restoration network to infer differential images corresponding to the degraded training image, wherein each of the first teacher network and the second teacher network comprises a differentiable activation layer and a performance of the first teacher network is greater than that of the second teacher network; initially setting a student network of the image restoration network based on the second teacher network; and training the student network to infer a differential image corresponding to the degraded training image by iteratively backpropagating, to the student network, a contrastive loss that decreases a first difference between a third output of the student network and a first output of the first teacher network and increases a second difference between the third output and a second output of the second teacher network.
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公开(公告)号：US20250139743A1
公开(公告)日：2025-05-01
申请号：US18920308
申请日：2024-10-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Insoo KIM , Geonseok SEO , Jae Seok CHOI , Hyong Euk LEE
IPC: G06T5/60 , G06T5/20 , G06T5/70 , G06T7/215 , G06T7/246 , G06V10/762 , G06V10/764 , G06V10/77 , G06V10/82 , G06V20/70
Abstract: A method and device for image enhancement based on blur segmentation are provided. The method of image enhancement includes: generating a blur segmentation map including indications of blur characteristics of respective pixels of a blur image, wherein the blur characteristics are in predetermined blur characteristic categories, and wherein the generating is performed by classifying the blur characteristic of each pixel of the blur image into one of the predetermined blur characteristic categories; converting the blur segmentation map into an image residual error corresponding to a blur component of the blur image; and generating the deblurred image based on the blur image and the image residual error.
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公开(公告)号：US20240185589A1
公开(公告)日：2024-06-06
申请号：US18329122
申请日：2023-06-05
Inventor： Jae Seok CHOI , Jongmin LEE , Minsu CHO , Sanghyun KIM , Dahyun KANG , Insoo KIM , Geonseok SEO , Min Jung LEE
IPC: G06V10/80 , G06T3/00 , G06V10/771 , G06V10/82
CPC classification number: G06V10/806 , G06T3/0093 , G06V10/771 , G06V10/82
Abstract: A method and apparatus for image restoration using burst images are provided, where the method includes receiving a burst image set including image frames, determining shifted data representing a shift level of each of the image frames using a shift estimation model, selecting a base image from the image frames based on the shifted data, and performing image restoration by synthesizing at least a portion of the image frames based on the base image.
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Patent Agency Ranking
公开(公告)号：US20220067889A1
公开(公告)日：2022-03-03
申请号：US17196084
申请日：2021-03-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Eunhee KANG , Kinam KWON , Sujin LEE , Hyong Euk LEE , Byung In YOO , Sangwon LEE , Jae Seok CHOI
IPC: G06T5/00
Abstract: An image enhancement method, an image enhancement apparatus, and a method and apparatus for training the image enhancement apparatus are provided. The image enhancement apparatus may enhance a quality of a raw image captured by an under-display camera (UDC). The image enhancement apparatus may process the raw image for each channel according to characteristics of a photographing environment of the UDC. The image enhancement apparatus may further enhance the image by processing the raw image to reflect characteristics for each channel.
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公开(公告)号：US20230186432A1
公开(公告)日：2023-06-15
申请号：US17718661
申请日：2022-04-12
Inventor： Jae Seok CHOI , Minsu CHO , Sanghyun KIM , Jongmin LEE , Kinam KWON , Geonseok SEO , Hyong Euk LEE
CPC classification number: G06T5/001 , G06V10/806 , G06T7/20 , G06V10/761 , G06T2207/20084
Abstract: A method and apparatus for image restoration based on burst images. The method includes generating a plurality of feature representations corresponding to individual images of a burst image set by encoding the individual images, determining a reference feature representation from among the plurality of feature representations, determining a first comparison pair including the reference feature representation and a first feature representation of the plurality of feature representations, generating a first motion-embedding feature representation of the first comparison pair based on a similarity score map of the reference feature representation and the first feature representation, generating a fusion result by fusing a plurality of motion-embedding feature representations including the first motion-embedding feature representation, and generating at least one restored image by decoding the fusion result.
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公开(公告)号：US20230092017A1
公开(公告)日：2023-03-23
申请号：US17678339
申请日：2022-02-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Geonseok SEO , Nahyup KANG , Eunhee KANG , Byung In YOO , Hyong Euk LEE , Jae Seok CHOI
Abstract: A computing device and an operation method thereof are disclosed. The method includes unshuffling first image data to generate input data, generating output data by implementing a neural network (NN) model provided the input data, and generating second image data by shuffling the output data.
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公开(公告)号：US20220398695A1
公开(公告)日：2022-12-15
申请号：US17543901
申请日：2021-12-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jae Seok CHOI , Hyong Euk LEE , Geonseok SEO , Byung In YOO
Abstract: Methods and apparatuses with training or image enhancement are disclosed. The image enhancement method includes obtaining an input image, estimating a noise distribution of the input image by implementing a noise model based on the input image, and generating an enhanced image by implementing an image enhancement model dependent on the input image and the estimated noise distribution.
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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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