公开(公告)号：US20240129546A1

公开(公告)日：2024-04-18

申请号：US18372409

申请日：2023-09-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Quockhanh DINH ,  Kyungah KIM ,  Minsoo PARK ,  Minwoo PARK ,  Kwangpyo CHOI ,  Yinji PIAO

IPC: H04N19/85 ,  H04N19/176

CPC classification number: H04N19/85 ,  H04N19/176

Abstract: An artificial intelligence (AI)-based image decoding method and an apparatus performing the AI-based image decoding method are provided. According to the AI-based image decoding method, a transform block for a residual block of a current block is obtained from a bitstream, a transform kernel for the transform block is generated by applying, to a neural network, a prediction block for the current block, neighboring pixels of the current block, and coding context information, the residual block is obtained by applying the generated transform kernel to the transform block, and the current block is reconstructed by using the residual block and the prediction block.

公开(公告)号：US20240048711A1

公开(公告)日：2024-02-08

申请号：US18232209

申请日：2023-08-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yinji PIAO ,  Kyungah KIM ,  Minsoo PARK ,  Minwoo PARK ,  Kwangpyo CHOI

IPC: H04N19/132 ,  H04N19/186 ,  H04N19/176 ,  H04N19/46

CPC classification number: H04N19/132 ,  H04N19/186 ,  H04N19/176 ,  H04N19/46

Abstract: An artificial intelligence (AI)-based video decoding method comprises obtaining, from a bitstream, a joint chroma residual sample of a current block, Cb component prediction information of the current block, and Cr component prediction information of the current block; determining a prediction sample of the Cb component of the current block based on at least the Cb component prediction information; determining a prediction sample of the Cr component of the current block based on at least the Cr component prediction information; and reconstructing the current block by obtaining a reconstructed sample of the Cb component of the current block and a reconstructed sample of the Cr component of the current block from an output of a neural network by inputting the joint chroma residual sample, the prediction sample of the Cb component, and the prediction sample of the Cr component to the neural network.

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.

公开(公告)号：US20210152799A1

公开(公告)日：2021-05-20

申请号：US17097320

申请日：2020-11-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu PARK ,  Junghye MIN ,  Kwangpyo CHOI ,  Kyungah KIM ,  Tejas NAIR ,  Yumi SOHN

IPC: H04N9/68 ,  G06T5/00 ,  G06N3/04 ,  H04N9/73

Abstract: A display apparatus and a controlling method thereof are disclosed. The display apparatus includes: a memory storing one or more instructions; and a processor configured to execute the stored one or more instructions to: obtain encoded data of a first digital image and artificial intelligence (AI) meta-information indicating a specification of a deep neural network (DNN), obtain a second digital image corresponding to the first digital image by decoding the encoded data, obtain a light signal converted from the second digital image according to a previously determined electro-optical transfer function (EOTF), and obtain a display signal by processing the light signal by using an opto-optical transfer function (OOTF) and a high dynamic range (HDR) DNN set according to the AI meta-information.

公开(公告)号：US20190058893A1

公开(公告)日：2019-02-21

申请号：US16007375

申请日：2018-06-13

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY

Inventor： Sun-il LEE ,  Won Woo RO ,  Kyungah KIM ,  Minsik KIM ,  Chan-yul KIM

IPC: H04N19/436 ,  H04N19/44 ,  H04N19/172 ,  H04N19/46

CPC classification number: H04N19/436 ,  H04N19/119 ,  H04N19/14 ,  H04N19/172 ,  H04N19/176 ,  H04N19/44 ,  H04N19/46

Abstract: Provided is an image encoding method including extracting feature points from a picture; generating at least two clusters by performing feature point clustering on the extracted feature points; determining at least two split sections in the picture, the at least two split sections respectively corresponding to the at least two clusters; parallel-encoding the at least two split sections; and generating a bitstream including information about the at least two split sections. A size and a shape of each of the at least two split sections may be individually determined.

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

公开(公告)号：US20230044603A1

公开(公告)日：2023-02-09

申请号：US17880840

申请日：2022-08-04

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yinji PIAO ,  Kyungah KIM ,  Quockhanh DINH ,  Minsoo PARK

IPC: H04N19/132 ,  H04N19/30 ,  H04N19/105 ,  H04N19/176

Abstract: Provided is an image processing apparatus including a memory storing instructions, and a processor configured to operate based on the instructions to reconstruct a current block from encoded data of the current block, obtain a quantization error map including sample values calculated based on a quantization parameter included in the encoded data, obtain a first modified block by applying the current block and the quantization error map to a neural network, obtain a first differential block between the current block and the first modified block, obtain a second differential block by changing sample values of the first differential block based on a parameter dependent on a feature of the current block, and obtain a second modified block by combining the current block and the second differential block.