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公开(公告)号：US20240187581A1
公开(公告)日：2024-06-06
申请号：US18421082
申请日：2024-01-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Minsoo PARK , Kyungah KIM , Quockhanh DINH , Minwoo PARK , Kwangpyo CHOI , Yinji PIAO
IPC: H04N19/117 , H04N19/124 , H04N19/137 , H04N19/159 , H04N19/176 , H04N19/82
CPC classification number: H04N19/117 , H04N19/124 , H04N19/137 , H04N19/159 , H04N19/176 , H04N19/82
Abstract: An image processing method for artificial intelligence (AI)-based filtering includes: obtaining motion information regarding inter prediction of a current block of a current reconstructed image, based on the motion information regarding the inter prediction, determining at least one reference reconstructed image regarding the current reconstructed image, based on the motion information and the at least one reference reconstructed image, determining at least one reference block, by inputting the current block and the at least one reference block to a neural network, obtaining an output block corresponding to the current block, and based on the output block, obtaining a modified current reconstructed image, wherein the neural network is trained using training data including the current block, the at least one reference block, and the output block, to reduce an error between the current block and an original block corresponding to the current block.
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2.发明申请公开(公告)号：US20220132001A1
公开(公告)日：2022-04-28
申请号：US17512338
申请日：2021-10-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh DINH , Kyonghwan JIN , Youngo PARK , Kwangpyo CHOI
Abstract: A method includes obtaining, by a second processor of the electronic device, from a first processor of the electronic device, a control signal for obtaining image data, loading any one learning model of at least one learning model into a memory, obtaining, by using the camera module, raw image data of the object, from light reflected from the object, the raw image data being configured to have a specified color array consisting of a plurality of colors with respect to a plurality of pixels, obtaining, by using the loaded any one learning model, a color data set with respect to the plurality of pixels from the obtained raw image data, the color data set including a plurality of pieces of color data classified according to the plurality of colors, and obtaining the noise-reduced image data of the object by using the obtained color data set.
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公开(公告)号：US20240064331A1
公开(公告)日：2024-02-22
申请号：US18235612
申请日：2023-08-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh DINH , Kyungah Kim , Minsoo Park , Minwoo Park , Kwangpyo Choi , Yinji Piao
IPC: H04N19/593 , H04N19/105 , H04N19/176 , H04N19/182 , H04N19/42
CPC classification number: H04N19/593 , H04N19/105 , H04N19/176 , H04N19/182 , H04N19/42
Abstract: An image decoding method and apparatus obtain intra prediction feature data of a current block from a bitstream, determine an intra flow indicating a reference pixel of a current pixel in the current block, by applying the intra prediction feature data, neighboring pixels of the current block, and coding context information of the current block to a neural network, obtain a predicted pixel of the current pixel based on the intra flow of the current block, and reconstruct the current block based on the predicted pixel.
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公开(公告)号：US20210118189A1
公开(公告)日：2021-04-22
申请号：US17082848
申请日：2020-10-28
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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5.发明申请公开(公告)号：US20200175650A1
公开(公告)日：2020-06-04
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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Patent Agency Ranking
6.发明申请公开(公告)号：US20200126262A1
公开(公告)日：2020-04-23
申请号：US16570057
申请日：2019-09-13
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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7.发明申请公开(公告)号：US20200126186A1
公开(公告)日：2020-04-23
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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8.发明公开公开(公告)号：US20240064336A1
公开(公告)日：2024-02-22
申请号：US18237109
申请日：2023-08-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kyungah KIM , Quockhanh DINH , Minsoo PARK , Minwoo PARK , Kwangpyo CHOI , Yinji PIAO
IPC: H04N19/66 , H04N19/132 , H04N19/105 , H04N19/176
CPC classification number: H04N19/66 , H04N19/132 , H04N19/105 , H04N19/176
Abstract: A method of decoding an image, including obtaining a motion vector of a current block; obtaining a preliminary prediction block based on a reference block indicated by the motion vector in a reference image; obtaining a final prediction block for the current block by applying, to a neural network, at least one of a picture order count (POC) map including a POC difference between the reference image and a current image including the current block, the preliminary prediction block, and a quantization error map; and reconstructing the current block based on the final prediction block and a residual block obtained from a bitstream, wherein sample values of the quantization error map are calculated based on a quantization parameter for the reference block
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公开(公告)号：US20230247212A1
公开(公告)日：2023-08-03
申请号：US18133369
申请日：2023-04-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh DINH , Kwangpyo CHOI
IPC: H04N19/42 , H04N19/137 , H04N19/52
CPC classification number: H04N19/42 , H04N19/137 , 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：US20230145525A1
公开(公告)日：2023-05-11
申请号：US17983843
申请日：2022-11-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh DINH , Kwangpyo CHOI
CPC classification number: G06T9/002 , G06T3/4046
Abstract: An image decoding method using artificial intelligence (AI), including obtaining, from a bitstream, a current optical flow and correction data which are generated based on a current predicted image and a current image; obtaining the current predicted image based on a previous reconstructed image and the current optical flow; obtaining feature data of the current predicted image by applying the current predicted image to a neural network-based predicted image encoder; and obtaining a current reconstructed image corresponding to the current image by applying the correction data and the feature data of the current predicted image to a neural network-based image decoder
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