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公开(公告)号：US11894863B2
公开(公告)日：2024-02-06
申请号：US17884935
申请日：2022-08-10
Inventor： Myung Hoon Sunwoo , U Seok Lee
CPC classification number: H03M13/6572 , H03M13/1108 , G06F7/501
Abstract: Disclosed are a method and apparatus for generating a decoding position control signal for decoding using polar codes. The method and apparatus for generating a decoding position control signal for decoding using polar codes according to an embodiment of the present disclosure include generating a decoding tree obtained by forming a plurality of nodes in a hierarchical structure for a polar-encoded codeword, decoding the codeword using a successive cancellation (SC) decoding technique, and generating control signal through a preset operation relationship based on a position of a bit returned during re-decoding among the decoded codeword.
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公开(公告)号：US20220215516A1
公开(公告)日：2022-07-07
申请号：US17647097
申请日：2022-01-05
Inventor： Myung Hoon Sunwoo , Byeong Dae Lee
Abstract: An apparatus for generating an HDR image includes an input image generator that generates a first image and a second image and an HDR image generator that generates a high dynamic range (HDR) in which a dynamic range of an original image is extended from the first image and the second image using a pre-trained model including a first neural network, a second neural network, and a third neural network, in which the first neural network is pre-trained to output a third image, the second neural network is pre-trained to output a fourth image and the third neural network is pre-trained to generate the HDR image based on the third image and the fourth image.
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公开(公告)号：US11051716B2
公开(公告)日：2021-07-06
申请号：US16115821
申请日：2018-08-29
Inventor： Myung Hoon Sunwoo , Jung Won Lee , Jin Hong Kim
Abstract: Disclosed are a method and an apparatus for jaundice diagnosis based on an image. The method for jaundice diagnosis based on an image includes: receiving a jaundice diagnostic image acquired by photographing both a specific body part of a user and a reference object at a place where the user is positioned at present; generating color distortion information indicating a color distortion degree of the reference object included in the jaundice diagnostic image; generating a jaundice diagnostic correction image by correcting color distortion of the jaundice diagnostic image based on the color distortion information; and diagnosing a jaundice symptom for the user by using the jaundice diagnostic correction image.
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公开(公告)号：US10945637B2
公开(公告)日：2021-03-16
申请号：US15855504
申请日：2017-12-27
Inventor： Jin Hong Kim , Myung Hoon Sunwoo , Jung Won Lee
Abstract: Disclosed are image based jaundice analyzing method and apparatus. The image based jaundice analyzing method according to an exemplary embodiment of the present disclosure includes: receiving an image for jaundice diagnosis obtained by photographing a specific body part of a user and a reference object in a location where the user is currently located; generating color distortion information representing a degree of color distortion of the reference object included in the image for jaundice diagnosis; generating a correction image for jaundice diagnosis by correcting the color distortion of the image for jaundice diagnosis based on the color distortion information; and diagnosing a jaundice symptom of the user using the correction image for jaundice diagnosis.
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公开(公告)号：US09503124B2
公开(公告)日：2016-11-22
申请号：US14537571
申请日：2014-11-10
Inventor： Myung Hoon Sunwoo , Byung Jun Choi
CPC classification number: H03M13/1131 , H03M13/1117 , H03M13/6502
Abstract: Provided is a method of decoding a low-density parity-check code (LDPC). The decoding method including an initialization process, a check node update process, a variable node update process, a tentative decoding process, and a parity check process, for a plurality of check nodes and a plurality of variable nodes, further includes detecting at least one inactive variable nodes that do not require variable node update among the variable nodes, the variable node update process is performed only on active variable nodes except for the inactive variable node, and the check node update process is performed without using the inactive variable node.
Abstract translation: 提供了一种对低密度奇偶校验码（LDPC）进行解码的方法。 对于多个校验节点和多个可变节点，包括初始化处理，校验节点更新处理，变量节点更新处理，暂定解码处理和奇偶校验处理的解码方法还包括检测至少一个 在变量节点之间不需要变量节点更新的非活动变量节点，仅在非活动变量节点之外的活动变量节点上执行变量节点更新过程，并且不使用非活动变量节点执行校验节点更新过程。
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Patent Agency Ranking
公开(公告)号：US12045960B2
公开(公告)日：2024-07-23
申请号：US17694988
申请日：2022-03-15
Inventor： Myung Hoon Sunwoo , Min Cheol Kim
CPC classification number: G06T5/70 , G06N3/04 , G06T5/10 , G06T5/50 , G06T2207/10024 , G06T2207/20052 , G06T2207/20212
Abstract: There are disclosed an apparatus and method for processing images. The apparatus for processing images according to an embodiment includes an image input unit configured to receive a first image of a Bayer pattern including noise and an image output unit configured to output a noise-removed image by removing noise from the first image using a noise removal model, and the noise removal model includes a color correlation block configured to generate a second image of the Bayer pattern including RGB correlation information about the first image from the first image by performing rearrange and convolution operations on the first image, a discrete cosine transform (DCT) block configured to generate a third image in which a high-frequency component of the first image is highlighted by applying a DCT to the first image, and one or more discrete wavelet transform (DWT) blocks configured to generate a low-frequency feature map and one or more high-frequency feature maps by applying a DWT to a first feature map generated based on the first image, the second image, and the third image, and generate a final feature map in which a high-frequency component and a low-frequency component of the first feature map are highlighted based on the low-frequency feature map and the one or more high-frequency feature maps.
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公开(公告)号：US11989865B2
公开(公告)日：2024-05-21
申请号：US17647097
申请日：2022-01-05
Inventor： Myung Hoon Sunwoo , Byeong Dae Lee
CPC classification number: G06T5/92 , G06N3/045 , G06T5/50 , G06T2207/20084 , G06T2207/20208 , G06T2207/20212
Abstract: An apparatus for generating an HDR image includes an input image generator that generates a first image and a second image and an HDR image generator that generates a high dynamic range (HDR) in which a dynamic range of an original image is extended from the first image and the second image using a pre-trained model including a first neural network, a second neural network, and a third neural network, in which the first neural network is pre-trained to output a third image, the second neural network is pre-trained to output a fourth image and the third neural network is pre-trained to generate the HDR image based on the third image and the fourth image.
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公开(公告)号：US11664827B2
公开(公告)日：2023-05-30
申请号：US17530999
申请日：2021-11-19
Inventor： Myung Hoon Sunwoo , U Seok Lee
CPC classification number: H03M13/3753 , H03M13/13 , H03M13/45
Abstract: A polar code decoding apparatus according to an embodiment includes a divider configured to generate a decoding tree in which a plurality of nodes including one or more critical sets for a polar-encoded codeword are formed in a hierarchical structure, and divide the decoding tree into one or more partitions, each partition equally including lowest nodes of the decoding tree, a determiner configured to determine a memory size for storing a primary decoding result based on a specific partition, the specific partition being selected from among the one or more partitions based on the number of critical sets included in each partition, and a decoder configured to decode the codeword primarily by using a successive cancellation (SC) decoding technique.
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公开(公告)号：US11922622B2
公开(公告)日：2024-03-05
申请号：US17277443
申请日：2019-08-22
Inventor： Myung Hoon Sunwoo , Ji Hoon Bae
CPC classification number: G06T7/0012 , A61B6/502 , G06N3/08 , G06N5/04 , G06T3/40 , G16H30/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/30068
Abstract: The present invention relates to a breast image analysis method with four mammogram images which are input to a convolutional neural network as one input and a system therefor and the system includes an image receiving unit which receives four mammogram images; an image size adjusting unit which adjusts a size of a mammogram image received from the image receiving unit; a preprocessing unit which performs preprocessing on the mammogram image adjusted by the image size adjusting unit; a convolutional neural network (CNN)-based CNN learning unit which generates learning information by learning the mammogram image preprocessed by the preprocessing unit; and a CNN inference unit which receives the learning information learned from the CNN learning unit and a mammogram image to be classified from the image receiving unit to diagnose a breast abnormality.
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公开(公告)号：US11764901B2
公开(公告)日：2023-09-19
申请号：US17717766
申请日：2022-04-11
Inventor： Myung Hoon Sunwoo , Jae Hong Roh , U Seok Lee
CPC classification number: H04L1/0057 , H03M13/1105 , H04L1/0045
Abstract: Disclosed are an apparatus and method for successive cancellation flip decoding of a polar code. The apparatus for successive cancellation flip decoding of a polar code according to an embodiment includes an iterative unit subtotal matrix generator configured to generate an iterative unit subtotal matrix corresponding to a preset iterative unit size based on a portion of an entire subtotal matrix, a selection logic configured to determine one or more selection bits based on a bit string representing a position of a bit returned when re-decoding and generate an auxiliary matrix for generating the entire subtotal matrix from the one or more selection bits, and an entire subtotal matrix generator configured to generate the entire subtotal matrix by using the iterative unit subtotal matrix and the auxiliary matrix.
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