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公开(公告)号：US20230403455A1
公开(公告)日：2023-12-14
申请号：US18333920
申请日：2023-06-13
发明人： Eunhee KANG , Anqi YANG , Aswin SANKARANARAYANAN , Hyong Euk LEE
摘要： A device with image acquisition includes: a first phase mask disposed at a front end of a display layer and configured to modulate external light; the display layer comprising pixel areas between hole areas through which the modulated light that has passed through the first phase mask passes; a second phase mask disposed at a rear end of the display layer and configured to modulate the modulated light that has passed through the first phase mask; an image sensor disposed at a rear end of the second phase mask and configured to generate a raw image by sensing the modulated light that has passed through the second phase mask; and a processor configured to perform image processing on the raw image, based on blur information corresponding to the raw image.
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公开(公告)号：US20230071693A1
公开(公告)日：2023-03-09
申请号：US17869165
申请日：2022-07-20
发明人： Eunhee KANG , Sehwan KI , Nahyup KANG , Kinam KWON , Hyong Euk LEE , Jae Seok CHOI
IPC分类号： G06T5/00
摘要： A processor-implemented method with degraded image restoration includes: receiving a degraded training image; training a first teacher network of an image restoration network and a second teacher network of the image restoration network to infer differential images corresponding to the degraded training image, wherein each of the first teacher network and the second teacher network comprises a differentiable activation layer and a performance of the first teacher network is greater than that of the second teacher network; initially setting a student network of the image restoration network based on the second teacher network; and training the student network to infer a differential image corresponding to the degraded training image by iteratively backpropagating, to the student network, a contrastive loss that decreases a first difference between a third output of the student network and a first output of the first teacher network and increases a second difference between the third output and a second output of the second teacher network.
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公开(公告)号：US20220138924A1
公开(公告)日：2022-05-05
申请号：US17241701
申请日：2021-04-27
发明人： Kinam KWON , Eunhee KANG , Sangwon LEE , Sujin LEE , Hyongeuk LEE , Jaeseok CHOI , Byungin YOO
摘要： An image restoration method includes determining degradation information indicating a degradation factor of a degraded image, tuning the degradation information based on a tuning condition, and generating a restored image corresponding to the degraded image by executing an image restoration network with the degraded image and the degradation information.
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公开(公告)号：US20230132630A1
公开(公告)日：2023-05-04
申请号：US17862779
申请日：2022-07-12
发明人： Eunhee KANG , Minsoo KANG , Bohyung HAN , Sehwan KI , HYONG EUK LEE
摘要： A method includes: generating, based on a student network result of an implemented student network provided with an input, a sample corresponding to a distribution of an energy-based model based on the student network result and a teacher network result of an implemented teacher network provided with the input; training model parameters of the energy-based model to decrease a value of the energy-based model, based on the teacher network result and the student network result; and training the implemented student network to increase the value of the energy-based model, based on the sample and the student network result.
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公开(公告)号：US20230092017A1
公开(公告)日：2023-03-23
申请号：US17678339
申请日：2022-02-23
发明人： Geonseok SEO , Nahyup KANG , Eunhee KANG , Byung In YOO , Hyong Euk LEE , Jae Seok CHOI
摘要： A computing device and an operation method thereof are disclosed. The method includes unshuffling first image data to generate input data, generating output data by implementing a neural network (NN) model provided the input data, and generating second image data by shuffling the output data.
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公开(公告)号：US20240223917A1
公开(公告)日：2024-07-04
申请号：US18350240
申请日：2023-07-11
发明人： Sehwan KI , Younghyun JO , Eunhee KANG , Hyong Euk LEE
CPC分类号： H04N25/46 , G06T3/4046 , G06T3/4053 , H04N9/78 , H04N23/69 , H04N23/85 , H04N25/10
摘要： A method and apparatus for generating a high-resolution digital zoom image may obtain a raw image captured by an image sensor from the image sensor, obtain an RGB image corresponding to the raw image, separate a luminance component and a chrominance component from the RGB image, extract a first feature of the RGB image, of which color information is enhanced, by applying the chrominance component to a first neural network, extract a second feature of the RGB image, of which texture information is enhanced, by applying the raw image and the luminance component to a second neural network, and generate the high-resolution digital zoom image, which corresponds to the RGB image, by upscaling the color information and the texture information based on the first feature or the second feature.
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公开(公告)号：US20220159188A1
公开(公告)日：2022-05-19
申请号：US17589100
申请日：2022-01-31
发明人： Sujin LEE , Eunhee KANG , Kinam KWON , Hyong Euk LEE
摘要： An image acquisition apparatus includes a display layer including hole regions through which external light is received and pixel regions arranged between the hole regions, an image sensor disposed under the display layer and configured to generate a raw image by sensing the external light received through the hole regions, and a processor configured to perform image processing on the raw image based on blur information based on an arrangement of the hole regions.
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公开(公告)号：US20240153035A1
公开(公告)日：2024-05-09
申请号：US18330654
申请日：2023-06-07
发明人： Younghyun JO , Sehwan KI , Eunhee KANG , Hyong Euk LEE
IPC分类号： G06T3/40
CPC分类号： G06T3/4076 , G06T3/4046
摘要： A processor-implemented method includes generating an adjusted reference patch by adjusting a position of a reference patch in a reference image based on a pixel value of a ground truth (GT) patch of a GT image and a pixel value of the reference patch, wherein the GT patch corresponds to a specific region of an input image; generating a super-resolution (SR) image of the input image using a SR model provided an input that is based on the generated adjusted reference patch; and training the SR model based on the SR image and the GT image.
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公开(公告)号：US20220070376A1
公开(公告)日：2022-03-03
申请号：US17230000
申请日：2021-04-14
发明人： Sujin LEE , Eunhee KANG , Kinam KWON , Hyong Euk LEE
摘要： An image acquisition apparatus includes a display layer including hole regions through which external light is received and pixel regions arranged between the hole regions, an image sensor disposed under the display layer and configured to generate a raw image by sensing the external light received through the hole regions, and a processor configured to perform image processing on the raw image based on blur information based on an arrangement of the hole regions.
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公开(公告)号：US20220067889A1
公开(公告)日：2022-03-03
申请号：US17196084
申请日：2021-03-09
发明人： Eunhee KANG , Kinam KWON , Sujin LEE , Hyong Euk LEE , Byung In YOO , Sangwon LEE , Jae Seok CHOI
IPC分类号： G06T5/00
摘要： An image enhancement method, an image enhancement apparatus, and a method and apparatus for training the image enhancement apparatus are provided. The image enhancement apparatus may enhance a quality of a raw image captured by an under-display camera (UDC). The image enhancement apparatus may process the raw image for each channel according to characteristics of a photographing environment of the UDC. The image enhancement apparatus may further enhance the image by processing the raw image to reflect characteristics for each channel.
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