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公开(公告)号：US11825234B2
公开(公告)日：2023-11-21
申请号：US17256560
申请日：2019-07-16
发明人： Iljun Ahn , Yongsup Park , Jaeyeon Park , Tammy Lee , Minsu Cheon
CPC分类号： H04N7/0117 , G06F18/22 , G06N3/045 , G06N3/08 , G06T3/4007 , G06T3/4046 , G06T5/002 , G06T2207/10016 , G06T2207/20084 , G06T2207/20182
摘要： Provided is an image processing apparatus for generating a high-resolution image. The image processing apparatus includes a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to extract feature information regarding a low-resolution image of a current frame by using a first convolutional neural network, generate, based on the feature information, a first high-resolution image of the current frame, remove flickering of the first high-resolution image by using a high-resolution image of a previous frame, and remove flickering of a high-resolution image of a next frame by using at least one of a flickering-removed second high-resolution image of the current frame, or the feature information.
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公开(公告)号：US11380081B2
公开(公告)日：2022-07-05
申请号：US16861428
申请日：2020-04-29
发明人： Jaeyeon Park , Yongsup Park , Iljun Ahn , Sangwook Baek , Minsu Cheon , Kwangpyo Choi
摘要： 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 stored in the memory to obtain first feature information by performing a convolution operation on a first image and a first kernel included in a first convolution layer among a plurality of convolution layers, obtain at least one piece of characteristic information, based on the first feature information; obtain second feature information, based on the first feature information and the at least one piece of characteristic information, obtain third feature information by performing a convolution operation on the obtained second feature information and a second kernel included in a second convolution layer that is a layer next to the first convolution layer among the plurality of convolution layers, and obtain an output image, based on the third feature information.
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公开(公告)号：US11720998B2
公开(公告)日：2023-08-08
申请号：US17091889
申请日：2020-11-06
发明人： Quockhanh Dinh , Kwangpyo Choi , Yongsup Park , Jaeyeon Park
CPC分类号： G06T3/4053 , G06N3/045 , G06N3/08 , G06N5/04
摘要： An artificial intelligence (AI) decoding apparatus obtains image data corresponding to a first image, which is AI-downscaled from an original image by an AI encoding apparatus by using a first deep neural network (DNN); reconstructs a second image corresponding to the first image, based on the image data; and obtain a third image, which is AI-upscaled from the second image, convolution is performed based on the second image and second parameters of a filter kernel included in a second DNN, wherein each of the second parameters is an integer value, and the second parameters are determined as values associated with first parameters of a filter kernel included in the first DNN. Embodiments use memory-efficient values with respect to filter kernels. Parameters used to obtain the memory-efficient integer values may be obtained via joint training between the first DNN and the second DNN.
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公开(公告)号：US11636626B2
公开(公告)日：2023-04-25
申请号：US17100212
申请日：2020-11-20
发明人： Sangwook Baek , Minsu Cheon , Yongsup Park , Jaeyeon Park , Kwangpyo Choi
IPC分类号： G06K9/62 , G06T9/00 , H04N19/30 , H04N19/136 , G06V10/82 , G06V10/764 , H04N19/20 , G06V20/60 , G06T7/10 , G06V10/70 , G06V10/72 , G06F18/2415 , G06N7/01 , G06V10/774 , G06V10/44 , G06V20/00 , G06V20/70
摘要： An image providing apparatus configured to generate, by using a first artificial intelligence (AI) network, AI metadata including class information and at least one class map, in which the class information includes at least one class corresponding to a type of an object among a plurality of predefined objects included in a first image and the at least one class map indicates a region corresponding to each class in the first image, generate an encoded image by encoding the first image, and output the encoded image and the AI metadata through the output interface.
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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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6.发明授权公开(公告)号：US11961207B2
公开(公告)日：2024-04-16
申请号：US17271328
申请日：2019-09-11
发明人： Iljun Ahn , Yongsup Park , Jaeyeon Park , Minsu Cheon , Tammy Lee
IPC分类号： G06T3/40 , G06N3/04 , G06N3/084 , G06T3/4046 , G06T5/00
CPC分类号： G06T3/4046 , G06N3/04 , G06N3/084 , G06T5/002 , G06T2207/20084
摘要： Provided is an image processing apparatus including a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to execute the one or more instructions to generate a second image by performing a deconvolution operation on a first image and a kernel comprising one or more weights, set values of the one or more weights based on the second image, and adjust the values of the one or more weights based on positions of the one or more weights in the kernel.
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7.发明授权公开(公告)号：US11315223B2
公开(公告)日：2022-04-26
申请号：US16962270
申请日：2019-01-24
发明人： Minsu Cheon , Yongsup Park , Changhan Kim , Jaeyeon Park , Iljun Ahn , Heeseok Oh , Tammy Lee , Kiheum Cho
摘要： An image processing apparatus is disclosed. The present image processing apparatus comprises: a memory for storing a low dynamic range (LDR) image and a processor for adjusting the brightness of the LDR image by means of a pixel-specific brightness ratio identified using a first parameter, and acquiring a high dynamic range (HDR) image by adding or subtracting a pixel-specific correction value identified using a second parameter in the brightness-adjusted LDR image.
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8.发明授权公开(公告)号：US11921822B2
公开(公告)日：2024-03-05
申请号：US17299607
申请日：2019-10-16
发明人： Jaeyeon Park , Iljun Ahn , Yongsup Park , Jaehee Kwak , Tammy Lee , Minsu Cheon
CPC分类号： G06F18/22 , G06N3/04 , G06T7/11 , G06V10/40 , G06V10/759
摘要： Provided are an image processing apparatus and an operation method of the image processing apparatus. The image processing apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to, by using one or more convolution neural networks, extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set, extract peripheral features by performing a convolution operation of features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and determine a feature of a region corresponding to the target regions in an output image, based on the target features and the peripheral features.
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公开(公告)号：US11871144B2
公开(公告)日：2024-01-09
申请号：US17256560
申请日：2019-07-16
发明人： Iljun Ahn , Yongsup Park , Jaeyeon Park , Tammy Lee , Minsu Cheon
CPC分类号： H04N7/0117 , G06F18/22 , G06N3/045 , G06N3/08 , G06T3/4007 , G06T3/4046 , G06T5/002 , G06T2207/10016 , G06T2207/20084 , G06T2207/20182
摘要： Provided is an image processing apparatus for generating a high-resolution image. The image processing apparatus includes a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to extract feature information regarding a low-resolution image of a current frame by using a first convolutional neural network, generate, based on the feature information, a first high-resolution image of the current frame, remove flickering of the first high-resolution image by using a high-resolution image of a previous frame, and remove flickering of a high-resolution image of a next frame by using at least one of a flickering-removed second high-resolution image of the current frame, or the feature information.
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公开(公告)号：US11861808B2
公开(公告)日：2024-01-02
申请号：US16971625
申请日：2019-02-20
发明人： Jaeyeon Park , Iljun Ahn , Yongsup Park , Tammy Lee , Minsu Cheon
CPC分类号： G06T3/4053 , G06F17/18 , G06N3/08 , G06T3/4007 , G06T5/20
摘要： An electronic device is disclosed. The electronic device of the disclosure comprises: a memory in which a learned artificial intelligence model is stored; and a processor for inputting an input image to the artificial intelligence model and outputting an enlarged image with increased resolution, wherein the learned artificial intelligence model includes an upscaling module for acquiring the pixel values of interpolated pixels around a cell according to a function having a nonlinearly decreasing symmetric form with reference to an original pixel in the enlarged image, the original pixel corresponding to a pixel of the input image.
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