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公开(公告)号：US11954765B2
公开(公告)日：2024-04-09
申请号：US17580753
申请日：2022-01-21
发明人： Hyungjun Lim , Taegyoung Ahn , Youngsu Moon
CPC分类号： G06T11/001 , G06T5/20 , H04N7/0155
摘要： Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.
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公开(公告)号：US10909700B2
公开(公告)日：2021-02-02
申请号：US16580204
申请日：2019-09-24
发明人： Hyungjun Lim , Youngsu Moon , Taegyoung Ahn
摘要： An image processing apparatus and method are provided. The image processing apparatus includes: a memory configured to store at least one instruction, and a processor electrically connected to the memory, wherein the processor, by executing the at least one instruction, is configured to: apply an input image to a training network model; and apply, to a pixel block included in the input image, a texture patch corresponding to the pixel block to obtain an output image, wherein the training network model stores a plurality of texture patches corresponding to a plurality of classes classified based on a characteristic of an image, and is configured to train at least one texture patch, among the plurality of texture patches, based on the input image.
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公开(公告)号：US11295412B2
公开(公告)日：2022-04-05
申请号：US16838650
申请日：2020-04-02
发明人： Cheon Lee , Donghyun Kim , Yongsup Park , Jaeyeon Park , Iljun Ahn , Hyunseung Lee , Taegyoung Ahn , Youngsu Moon , Tammy Lee
摘要： An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US11263789B2
公开(公告)日：2022-03-01
申请号：US16399018
申请日：2019-04-30
发明人： Hyungjun Lim , Taegyoung Ahn , Youngsu Moon
摘要： Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.
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公开(公告)号：US11836890B2
公开(公告)日：2023-12-05
申请号：US17527732
申请日：2021-11-16
发明人： Cheon Lee , Donghyun Kim , Yongsup Park , Jaeyeon Park , Iljun Ahn , Hyunseung Lee , Taegyoung Ahn , Youngsu Moon , Tammy Lee
CPC分类号： G06T3/403 , G06T3/4053 , G06T7/13 , G06V10/82 , G06T2207/20081
摘要： An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.
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公开(公告)号：US11544816B2
公开(公告)日：2023-01-03
申请号：US16836263
申请日：2020-03-31
发明人： Donghyun Kim , Jisu Lee , Youngsu Moon , Seungho Park , Taegyoung Ahn , Younghoon Jeong
摘要： Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.
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公开(公告)号：US11551332B2
公开(公告)日：2023-01-10
申请号：US16908021
申请日：2020-06-22
发明人： Donghyun Kim , Jisu Lee , Youngsu Moon , Seungho Park , Taegyoung Ahn , Younghoon Jeong
摘要： Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.
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公开(公告)号：US11443461B2
公开(公告)日：2022-09-13
申请号：US16399018
申请日：2019-04-30
发明人： Hyungjun Lim , Taegyoung Ahn , Youngsu Moon
摘要： Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.
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公开(公告)号：US11153575B2
公开(公告)日：2021-10-19
申请号：US16292655
申请日：2019-03-05
发明人： Hyunseung Lee , Donghyun Kim , Youngsu Moon , Taegyoung Ahn , Yoonsik Kim , Jaewoo Park , Jae Woong Soh , Nam Ik Cho , Byeongyong Ahn
IPC分类号： H04N19/176 , G06K9/40 , G06N3/02 , H04N19/137
摘要： An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates, and a processor configured to: obtain a compression rate of each of a plurality of image blocks included in a frame of a decoded moving picture based on the compression rate network model, obtain the compression rate of the frame based on the plurality of obtained compression rates, and remove compression noise of the frame based on a compression noise removing network model corresponding to the compression rate of the frame from among the plurality of compression noise removing network models. The compression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm, and the plurality of restored image blocks can be generated by encoding a plurality of original image blocks, and decoding the encoded plurality of original image blocks, and the plurality of compression noise removing network models can be obtained by learning a relation between the plurality of original image blocks and the plurality of restored image blocks through a second artificial intelligence algorithm.
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