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公开(公告)号：US20210192686A1
公开(公告)日：2021-06-24
申请号：US17114830
申请日：2020-12-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Bongjoe KIM
Abstract: Disclosed are an electronic apparatus and a method of controlling the same. The electronic apparatus includes: an interface circuitry; and a processor configured to receive a low resolution image for each of a plurality of frames of content and characteristic data from an external apparatus through the interface circuitry, generate, based on the low resolution image and the characteristic data, a high resolution image that has a larger amount of data than the low resolution image and has characteristics corresponding to the characteristic data, and control to display the generated high resolution image on a display.
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公开(公告)号：US20220245767A1
公开(公告)日：2022-08-04
申请号：US17573010
申请日：2022-01-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Bongjoe KIM , Kyuha CHOI , Seungho PARK , Sangjo LEE
Abstract: An image processing apparatus includes: a memory storing one or more instructions; and a processor by executing the one or more instructions stored in the memory is configured to: extract a first image feature from a first image; search for, based on a transmission characteristic of the first image and the first image feature, a first cluster corresponding to the first image from among a plurality of clusters stored in the image processing apparatus, each cluster including a representative image feature and a representative image quality parameter; perform image quality processing on the first image based on a first representative image quality parameter in the first cluster; obtain, based on the first image that has undergone the image quality processing, a first update parameter obtained by updating the first representative image quality parameter; and update the plurality of clusters based on the first update parameter.
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公开(公告)号：US20250030920A1
公开(公告)日：2025-01-23
申请号：US18906959
申请日：2024-10-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Bongjoe KIM
IPC: H04N21/472 , H04N21/422 , H04N21/466
Abstract: A display device includes a display, an image receiver configured to receive video content having a first style, a memory storing one or more instructions and including one or more neural networks, and at least one processor configured to execute the one or more instructions stored in the memory to execute the one or more instructions to obtain a feature corresponding to a second style, transfer, by the one or more neural networks, a style of frame images of the video content from the first style to the second style based on the feature, and control the display to display frame images having the second style.
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公开(公告)号：US20230126778A1
公开(公告)日：2023-04-27
申请号：US17982188
申请日：2022-11-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sanghun KIM , Moonhee KIM , Bongjoe KIM
Abstract: Provided is an image processing apparatus including a memory storing at least one instruction; and a processor configured to execute the at least one instruction to: obtain, from a first image, a second image from which noise has been removed using a filtering algorithm; determine first weight data corresponding to the first image and second weight data corresponding to the second image, by applying the first image to a neural network for deriving a mixing ratio between the first image and the second image; and obtain an output image by mixing a first result obtained by applying the first weight data to the first image, with a second result obtained by applying the second weight data to the second image.
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公开(公告)号：US20250148575A1
公开(公告)日：2025-05-08
申请号：US19018891
申请日：2025-01-13
Applicant: SAMSUNG ELECTRONICS CO, LTD.
Inventor： Sanghun KIM , Bongjoe KIM
IPC: G06T5/60
Abstract: An electronic device includes memory storing instructions; and one or more processors configured to execute the instructions to obtain first loss values by inputting a first training image into neural network models; identify a smallest first loss value from among the first loss values; identify the first training image as being in a first training image group for a first neural network model corresponding to the smallest first loss value; obtain second loss values by inputting a second training image into the neural network models; identify a smallest second loss value from among the second loss values; identify the second training image as being in a second training image group for a second neural network model corresponding to the smallest second loss value; train the first neural network model based on the first training image group; and train the second neural network model based on the second training image group.
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Patent Agency Ranking
公开(公告)号：US20240404004A1
公开(公告)日：2024-12-05
申请号：US18798199
申请日：2024-08-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Bongjoe KIM , Sanghun KIM
IPC: G06T3/4046 , G06T3/4053 , G06T7/00 , G06V10/762 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/82
Abstract: A display apparatus, includes: a memory configured to store at least one instruction; and one or more processors configured to execute the at least one instruction to cause the display apparatus to: obtain weight value information for clusters classified according to picture quality by inputting an input image in a prediction neural network model; obtain an adaptive neural network model by respectively applying the weight value information to neural network models corresponding to the clusters; and obtain an output image with improved picture quality by inputting the input image in the adaptive neural network model, wherein the prediction neural network model is a model trained to output probability values for the clusters based on loss information for output images obtained by inputting learning images into the neural network models.
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公开(公告)号：US20200077068A1
公开(公告)日：2020-03-05
申请号：US16526288
申请日：2019-07-30
Applicant: SAMSUNG ELECTRONICS CO., LTD
Inventor： Bongjoe KIM , Jongho KIM , Gimun EOM
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a communicator, a camera, a memory storing a reference image including a plurality of gradation regions that have different gradation values, and a processor to photograph the display device that outputs the reference image and a background of the display device, through the camera, obtain correction data for correcting a gradation value of the photographed image based on a plurality of gradation regions included in the photographed image and a plurality of gradation regions included in the stored reference image, correct a background image corresponding to the background from the photographed image based on the obtained correction data, and control the communicator to output the corrected background image on the display device.
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8.发明申请公开(公告)号：US20200026952A1
公开(公告)日：2020-01-23
申请号：US16508529
申请日：2019-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Bongjoe KIM
Abstract: The disclosure relates to an artificial intelligence (AI) system utilizing a machine learning algorithm, and application thereof. In particular, an electronic apparatus according to the disclosure includes a memory storing a trained artificial intelligence model, and a processor configured to acquire a plurality of feature values by inputting an input image to the artificial intelligence model. The trained artificial intelligence model applies each of a plurality of filters to a plurality of feature maps extracted from the input image and includes a pooling layer for acquiring feature values for the plurality of feature maps to which each of the plurality of filters is applied.
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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.
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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
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.
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