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公开(公告)号：US11663747B2
公开(公告)日：2023-05-30
申请号：US17383533
申请日：2021-07-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
CPC classification number: G06T9/002 , G06T3/4046 , G06V10/82 , H04N19/85 , G06T2207/20081
Abstract: Provided is an artificial intelligence (AI) decoding 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: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US11200702B2
公开(公告)日：2021-12-14
申请号：US17147954
申请日：2021-01-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Minseok Choi , Kwangpyo Choi
Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.
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公开(公告)号：US20210350586A1
公开(公告)日：2021-11-11
申请号：US17383533
申请日：2021-07-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is an artificial intelligence (AI) decoding 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: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10817985B2
公开(公告)日：2020-10-27
申请号：US16656812
申请日：2019-10-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US12289475B2
公开(公告)日：2025-04-29
申请号：US17880799
申请日：2022-08-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Kwangpyo Choi , Minwoo Park , Yinji Piao
IPC: H04N19/86 , H04N19/117 , H04N19/182 , H04N19/187 , H04N19/80
Abstract: An image processing method and an image processing apparatus are provided to obtain input data for deblocking filtering based on deblocking filtering target pixels of at least one line perpendicular to a boundary line of blocks and encoding information about the deblocking filtering target pixels of at least one line, obtain a feature map of the input data by inputting the input data to a first neural network, obtain a deblocking filter coefficient by inputting the feature map to a second neural network, obtain a deblocking filter compensation value by inputting the feature map to a third neural network, obtain a deblocking filter strength by inputting the input data to a fourth neural network, obtain deblocking filtered pixels by performing deblocking filtering on the deblocking filtering target pixels of the at least one line using the deblocking filter coefficient, the deblocking filter compensation value, and the deblocking filter strength.
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Patent Agency Ranking
公开(公告)号：US11720998B2
公开(公告)日：2023-08-08
申请号：US17091889
申请日：2020-11-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Kwangpyo Choi , Yongsup Park , Jaeyeon Park
CPC classification number: G06T3/4053 , G06N3/045 , G06N3/08 , G06N5/04
Abstract: An artificial intelligence (AI) decoding apparatus obtains image data corresponding to a first image, which is AI-downscaled from an original image by an AI encoding apparatus by using a first deep neural network (DNN); reconstructs a second image corresponding to the first image, based on the image data; and obtain a third image, which is AI-upscaled from the second image, convolution is performed based on the second image and second parameters of a filter kernel included in a second DNN, wherein each of the second parameters is an integer value, and the second parameters are determined as values associated with first parameters of a filter kernel included in the first DNN. Embodiments use memory-efficient values with respect to filter kernels. Parameters used to obtain the memory-efficient integer values may be obtained via joint training between the first DNN and the second DNN.
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公开(公告)号：US11616988B2
公开(公告)日：2023-03-28
申请号：US17286743
申请日：2019-09-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Youngo Park , Kwangpyo Choi
IPC: H04N19/85 , H04N19/132 , H04N19/184 , G06N3/02
Abstract: Proposed are a method and apparatus for evaluating the quality of an image, the method including obtaining blocks each having a predetermined size by splitting a target image for evaluating a quality and a reference image that is to be compared with the target image, determining sensitivity information and quality assessment information of each of the blocks by inputting the blocks to a video quality assessment network, and determining a final image quality assessment score of the target image by combining the pieces of quality assessment information of the blocks with each other, based on the pieces of sensitivity information of the blocks.
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公开(公告)号：US10825139B2
公开(公告)日：2020-11-03
申请号：US16781083
申请日：2020-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号：US12170786B2
公开(公告)日：2024-12-17
申请号：US18133369
申请日：2023-04-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Kwangpyo Choi
IPC: G06T9/00 , H04N19/137 , H04N19/42 , H04N19/52
Abstract: An image decoding method includes obtaining feature data of a current optical flow and feature data of a current residual image from a bitstream; obtaining the current optical flow and first weight data by applying the feature data of the current optical flow to an optical flow decoder; obtaining the current residual image by applying the feature data of the current residual image to a residual decoder; obtaining a preliminary prediction image from the previous reconstructed image, based on the current optical flow; obtaining a final prediction image by applying sample values of the first weight data to sample values of the preliminary prediction image; and obtaining a current reconstructed image corresponding to the current image by combining the final prediction image with the current residual image.
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公开(公告)号：US11863783B2
公开(公告)日：2024-01-02
申请号：US17677498
申请日：2022-02-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Minwoo Park , Minsoo Park , Kwangpyo Choi
IPC: H04N19/51 , H04N19/137 , H04N19/124 , H04N19/43 , H04N19/91 , H04N19/17
CPC classification number: H04N19/51 , H04N19/124 , H04N19/137 , H04N19/17 , H04N19/43 , H04N19/91
Abstract: A method of reconstructing an optical flow by using artificial intelligence (AI), including obtaining, from a bitstream, feature data of a current residual optical flow for a current image; obtaining the current residual optical flow by applying the feature data of the current residual optical flow to a neural-network-based first decoder; obtaining a current predicted optical flow based on at least one of a previous optical flow, feature data of the previous optical flow, and feature data of a previous residual optical flow; and reconstructing a current optical flow based on the current residual optical flow and the current predicted optical flow.
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