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公开(公告)号:US20240233092A1
公开(公告)日:2024-07-11
申请号:US18616953
申请日:2024-03-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Gyehyun KIM , Beomseok KIM , Youjin LEE , Taeyoung JANG , Youngo PARK , Yongsup PARK , Sangmi LEE , Kwangpyo CHOI
CPC classification number: G06T5/60 , G06T5/50 , G06T2207/20016 , G06T2207/20084 , G06T2207/20216
Abstract: Provided are an image processing method and an input processing device based on a neural network, the method including: obtaining a feature map distinguishing between a near object and a distant object of a low-resolution input image, obtaining a composited weight map for the low-resolution input image by inputting the feature map to a first Deep Neural Network (DNN), obtaining a first image by inputting the low-resolution input image to a second DNN suitable for restoring a distant object, obtaining a second image by inputting the low-resolution input image to a third DNN suitable for restoring a near object, and obtaining a high-resolution image for the low-resolution input image by performing weighted averaging on the first image and the second image using the composited weight map.
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公开(公告)号:US20210390660A1
公开(公告)日:2021-12-16
申请号:US17240360
申请日:2021-04-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sangwook BAEK , Yongsup PARK , Sangmi LEE , Youngo PARK , Kwangpyo CHOI
Abstract: An image processing apparatus for performing image quality processing on an image includes a feature extraction network and an image quality processing network including one or more modulation blocks, wherein each of the one or more modulation blocks includes a convolution layer, a modulation layer, and an activation layer for processing the image.
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