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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：US20230069072A1
公开(公告)日：2023-03-02
申请号：US17888170
申请日：2022-08-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Iljun AHN , Soomin KANG , Hanul SHIN , Tammy LEE
Abstract: An image processing apparatus may include: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor executes the one or more instructions to use one or more convolutional neural networks to: determine first parameters, based on position information of first pixels included in a first region of a first image and position information of samples of the first image; obtain sample values of the samples by applying the first parameters to pixel values of the first pixels; obtain feature information corresponding to the first region by performing a convolution operation between the sample values and a kernel of the one or more convolutional neural networks; and generate a second image, based on the feature information.
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公开(公告)号：US20210183015A1
公开(公告)日：2021-06-17
申请号：US17271328
申请日：2019-09-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Iljun AHN , Yongsup PARK , Jaeyeon PARK , Minsu CHEON , Tammy LEE
Abstract: Provided is an image processing apparatus including a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to execute the one or more instructions to generate a second image by performing a deconvolution operation on a first image and a kernel comprising one or more weights, set values of the one or more weights based on the second image, and adjust the values of the one or more weights based on positions of the one or more weights in the kernel.
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公开(公告)号：US20230075881A1
公开(公告)日：2023-03-09
申请号：US17987582
申请日：2022-11-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaeyeon PARK , Iljun AHN , Tammy LEE
Abstract: Provided is a method of reducing noise of a compressed image, the method including obtaining a first image by applying a convolution filter, which sequentially performs down-convolution and up-convolution corresponding to the down-convolution, to a compressed image of an original image, obtaining a second image by subtracting the first image from the compressed image, obtaining noise comprising high-frequency information and a compressed artifact of the compressed image from the second image, obtaining a third image by removing the compressed artifact by applying a deep neural network (DNN) for removing the compressed artifact to the noise, and reconstructing the compressed image by summing the first image and the third image.
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公开(公告)号：US20220284545A1
公开(公告)日：2022-09-08
申请号：US17687162
申请日：2022-03-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Iljun AHN , Soomin Kang , Hanul Shin , Tammy Lee
IPC: G06T3/40
Abstract: An image processing device, including a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: obtain kernel coefficient information corresponding to each pixel of a plurality of pixels included in a first image, using a convolution neural network including one or more convolution layers, generate a spatially variant kernel including a kernel corresponding to the each pixel, based on a gradient kernel set including a plurality of gradient kernels corresponding to one or more gradient characteristics of the plurality of pixels, and the kernel coefficient information, and generate a second image, by applying the kernel included in the spatially variant kernel to a region centered on the each pixel, and filtering the first image.
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Patent Agency Ranking
公开(公告)号：US20220019844A1
公开(公告)日：2022-01-20
申请号：US17299607
申请日：2019-10-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaeyeon PARK , Iljun AHN , Yongsup PARK , Jaehee KWAK , Tammy LEE , Minsu CHEON
Abstract: An image processing apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory. The processor is configured to, by using one or more convolution neural networks, extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set, extract peripheral features by performing a convolution operation of features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and determine a feature of a region corresponding to the target regions in an output image, based on the target features and the peripheral features.
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7.发明申请TOMOGRAPHY APPARATUS AND METHOD FOR RECONSTRUCTING TOMOGRAPHY IMAGE THEREOF 有权TOMOGRAPHY装置及其重建图像图像的方法公开(公告)号：US20150243045A1
公开(公告)日：2015-08-27
申请号：US14554799
申请日：2014-11-26
Inventor： Jong Beom RA , Seungeon KIM , Kyoung-yong LEE , Toshihiro RIFU , Jonghyon YI , Iljun AHN , Yongjin CHANG , Byung-sun CHOI
CPC classification number: G06T7/246 , A61B6/032 , A61B6/037 , A61B6/5205 , A61B6/5264 , G06T7/248 , G06T11/006 , G06T2207/10081 , G06T2211/412 , G06T2211/421
Abstract: A tomography apparatus includes a data acquirer acquiring a first image and a second image that are partial images, by using data acquired in a first angular section corresponding to a first time point and a second angular section corresponding to a second time and facing the first angular section, by performing a tomography scan on an object that is moving, and acquiring first information indicating a motion amount of the object by using the first image and the second image, and an image reconstructor reconstructing a target image indicating the object at a target time, based on the first information.
Abstract translation: 断层摄影装置包括数据获取器，通过使用在对应于第一时间点的第一角度部分中获取的数据和对应于第二时间的第二角度部分获取第一图像和第二图像的第二图像，并且面对第一角度 通过对正在移动的对象进行断层摄影扫描，并且通过使用第一图像和第二图像获取指示对象的运动量的第一信息，以及图像重建器，在目标时间重建指示对象的目标图像 ，基于第一个信息。
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公开(公告)号：US20230360169A1
公开(公告)日：2023-11-09
申请号：US18135992
申请日：2023-04-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaeyeon PARK , Iljun AHN , Tammy LEE , Soomin KANG , Youngchan SONG , Hanul SHIN
CPC classification number: G06T3/40 , G06T5/50 , G06T2207/20016
Abstract: An image processing apparatus for performing an image by using one or more neural networks may include a memory storing one or more instructions and at least one processor configured to execute the one or more instructions stored in the memory to obtain first feature information of a first image, generate an intermediate output image for the first image by performing first image processing on the first feature information, generate an attention map, based on the first image and the intermediate output image, obtain second feature information by performing second image processing on the first feature information, obtain fourth feature information by performing third image processing on third feature information extracted during the first image processing, and generate a second image having a higher quality than the first image, based on the attention map, the second feature information, and the fourth feature information.
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公开(公告)号：US20230071417A1
公开(公告)日：2023-03-09
申请号：US17987574
申请日：2022-11-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Iljun AHN , Tammy LEE , Soomin KANG , Jaeyeon PARK
Abstract: An image processing apparatus includes a memory storing at least one instruction; and a processor configured to execute the at least one instruction to use at least one neural network to: extract n pieces of first feature information from a first image, based on locations of pixels included in the first image, wherein n is a positive integer, generate n pieces of second feature information by performing a convolution operation between each of the n pieces of the first feature information and each of n kernels, and generate, based on the n pieces of the second feature information, a second image from which compression artifacts included in the first image are removed.
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公开(公告)号：US20220375027A1
公开(公告)日：2022-11-24
申请号：US17293806
申请日：2020-04-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Abstract: An image processing device includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: obtain location change feature information based on values of pixels included in a first image and relative location relationships of the pixels included in the first image and pixels included in a second image; and generate the second image obtained by up-scaling the first image by k times, by performing a convolution operation on the location change feature information and a kernel, wherein k is a real number.
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