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公开(公告)号：US20240221131A1
公开(公告)日：2024-07-04
申请号：US18607014
申请日：2024-03-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Moonhee KIM , Bongjoe Kim , Sanghun Kim
CPC classification number: G06T5/70 , G06T5/50 , G06T5/60 , G06T7/0002 , G06T7/13 , G06V10/44 , G06V10/77 , G06T2207/20081 , G06T2207/20084 , G06T2207/20212 , G06T2207/30168
Abstract: The present disclosure relates to an image processing method and device for removing perceptible noise from an image. The disclosed image processing method includes: obtaining a noise-removed image from an image; obtaining removed noise from a difference between the image and the noise-removed image; obtaining a statistical feature of the noise-removed image and a statistical feature of the noise; determining a noise feature regarding whether noise of a pixel is perceptible noise or a perceptible detail, based on the statistical feature of the noise-removed image and the statistical feature of the noise; and performing a process of removing the perceptible noise from the image based on the noise feature of the pixel.
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公开(公告)号：US12079964B2
公开(公告)日：2024-09-03
申请号：US17573010
申请日：2022-01-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Bongjoe Kim , Kyuha Choi , Seungho Park , Sangjo Lee
CPC classification number: G06T5/70 , G06T5/50 , G06T7/0002 , G06T2207/20084
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：US10939083B2
公开(公告)日：2021-03-02
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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公开(公告)号：US11347962B2
公开(公告)日：2022-05-31
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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Patent Agency Ranking
公开(公告)号：US10904504B2
公开(公告)日：2021-01-26
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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公开(公告)号：US11455706B2
公开(公告)日：2022-09-27
申请号：US17464119
申请日：2021-09-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kyuha Choi , Bongjoe Kim , Daeeun Kim , Taejun Park
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes: a memory configured to store a downscaling network of a first artificial intelligence 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 intelligence 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 intelligence 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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公开(公告)号：US11373280B2
公开(公告)日：2022-06-28
申请号：US16872573
申请日：2020-05-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Bongjoe Kim
Abstract: An electronic device is provided. The electronic device may include at least one processor, and at least one memory. The at least one processor may be configured to execute the instructions stored in the at least one memory, to: acquire an input image, predict an inverse function of a monotonically increasing function for decreasing an image contrast ratio by applying the input image to a learning model trained by using an artificial intelligence algorithm, and acquire an output image based on the input image and the predicted inverse function of the monotonically increasing function. The learning model may be trained to predict the inverse function of the monotonically increasing function for decreasing the an image contrast ratio by using a training image generated by applying a target image having a high contrast ratio to the monotonically increasing function and the inverse function of the monotonically increasing function as training data.
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公开(公告)号：US12073595B2
公开(公告)日：2024-08-27
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: G06N3/045 , G06T3/4046 , G06T7/00 , G06T9/00
CPC classification number: G06T9/002 , G06N3/045 , G06T3/4046 , G06T7/0002
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：US12039693B2
公开(公告)日：2024-07-16
申请号：US17114830
申请日：2020-12-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Bongjoe Kim
IPC: G06T3/4046 , G06T3/4076 , H04N7/01 , H04N19/33
CPC classification number: G06T3/4046 , G06T3/4076 , H04N7/0117 , H04N19/33
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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