公开(公告)号：US20240378761A1

公开(公告)日：2024-11-14

申请号：US18781478

申请日：2024-07-23

Applicant: SAMSUNG ELECTRONICS CO.,LTD.

Inventor： Daesung CHO ,  Daeeun KIM ,  Bongjoe KIM ,  Taejun PARK ,  Sangjo LEE ,  Kyuha CHOI

IPC: G06T9/00 ,  G06N3/045 ,  G06T3/4046 ,  G06T7/00

Abstract: An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.

公开(公告)号：US20220414828A1

公开(公告)日：2022-12-29

申请号：US17902775

申请日：2022-09-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kyuha CHOI ,  Bongjoe KIM ,  Daeeun KIM ,  Taejun PARK

IPC: G06T3/40 ,  H04N19/33

Abstract: An electronic apparatus includes a memory configured to store a downscaling network of a first artificial intelligene model, a communication interface comprising communication circuitry, and a processor connected to the memory and the communication interface and configured to control the electronic apparatus, wherein the processor is configured to: obtain an output image in which an input image is downscaled by inputting the input image the downscaling network, control the communication interface to transmit the output image to another electronic apparatus, and wherein the first artificial intelligene model is configured to be learned based on: a sample image, a first intermediate image obtained by inputting the sample image to the downscaling network, a first final image obtained by inputting the first intermediate image to an upscaling network of the first artificial intelligene model, a second intermediate image in which the sample image is downscaled by a legacy scaler, and a second final image in which the first intermediate image is upscaled by the legacy scaler.

公开(公告)号：US20220180568A1

公开(公告)日：2022-06-09

申请号：US17522579

申请日：2021-11-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daesung CHO ,  Daeeun KIM ,  Bongjoe KIM ,  Taejun PARK ,  Sangjo LEE ,  Kyuha CHOI

IPC: G06T9/00 ,  G06T3/40 ,  G06T7/00 ,  G06N3/04

Abstract: An artificial intelligence (AI) encoding apparatus includes at least one processor configured to: determine a downscaling target, based on a target resolution for a first image, obtain the first image by AI-downscaling an original image using an AI-downscaling neural network corresponding to the downscaling target, generate image data by encoding the first image, select AI-upscaling neural network set identification information, based on the target resolution of the first image, characteristic information of the original image, and a target detail intensity, generate AI data including the target resolution of the first image, bit depth information of the first image, the AI-upscaling neural network set identification information, and encoding control information, and generate AI encoding data including the image data and the AI data; and a communication interface configured to transmit the AI encoding data to an AI decoding apparatus, wherein the AI data includes information about an AI-upscaling neural network corresponding to the AI-downscaling neural network.

公开(公告)号：US20220084167A1

公开(公告)日：2022-03-17

申请号：US17464119

申请日：2021-09-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kyuha CHOI ,  Bongjoe KIM ,  Daeeun KIM ,  Taejun PARK

IPC: G06T3/40 ,  H04N19/33

Abstract: An electronic apparatus is dislcosed. The electronic apparatus includes: a memory configured to store a downscaling network of a first artificial intelligene model, a communication interface comprising communication circuitry, and a processor connected to the memory and the communication interface and configured to control the electronic apparatus, wherein the processor is configured to: obtain an output image in which an input image is downscaled by inputting the input image the downscaling network, control the communication interface to trasnmit the output image to another electronic apparatus, and wherein the first artificial intelligene model is configured to be learned based on: a sample image, a first intermediate image obtained by inputting the sample image to the downscaling network, a first final image obtained by inputting the first intermediate image to an upscaling network of the first artificial intelligene model, a second intermediate image in which the sample image is downscaled by a legacy scaler, and a second final image in which the first intermediate image is upscaled by the legacy scaler.