IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20230360359A1

    公开(公告)日:2023-11-09

    申请号:US18141142

    申请日:2023-04-28

    Abstract: An image processing apparatus for performing an image by using one or more neural networks may include a memory storing one or more instructions and at least one processor configured to execute the one or more instructions to obtain classification information of a first image and first feature information of the first image, generate a first feature image for the first image by performing first image processing on the classification information and the first feature information, obtain second feature information by performing second image processing on the classification information and the first feature information, obtain fourth feature information by performing third image processing on third feature information extracted during the first image processing, generate a second feature image for the first image, based on the second feature information and the fourth feature information, and generate a second image based on the first feature image and the second feature image.

    IMAGE PROCESSING APPARATUS AND OPERATING METHOD THEREOF

    公开(公告)号:US20220375093A1

    公开(公告)日:2022-11-24

    申请号:US17749602

    申请日:2022-05-20

    Abstract: An image processing apparatus, including a memory configured to store one or more instructions; and at least one processor configured to execute the one or more instructions to: based on a first image and a probability model, optimize an estimated pixel value and estimated gradient values of each pixel of an original image corresponding to the first image, obtain an estimated original image based on the optimized estimated pixel value of the each pixel of the original image, obtain a decontour map based on the optimized estimated pixel value and the estimated gradient values of the each pixel of the original image, and generate a second image by combining the first image with the estimated original image based on the decontour map.

    IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20220284555A1

    公开(公告)日:2022-09-08

    申请号:US17687343

    申请日:2022-03-04

    Abstract: An image processing apparatus, including a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to obtain similarity information indicating a similarity between each pixel of a plurality of pixels included in a first image and an adjacent pixel of the each pixel; generate a weight map including weight information corresponding to the each pixel, based on the similarity information; generate a spatially variant kernel including a plurality of kernels corresponding to the plurality of pixels, based on the weight map and a spatial kernel including weight information based on a location relationship between the each pixel and the adjacent pixel; and generate a second image by applying the spatially variant kernel to the first image.

    IMAGE PROCESSING DEVICE AND OPERATION METHOD THEREFOR

    公开(公告)号:US20210334578A1

    公开(公告)日:2021-10-28

    申请号:US17264656

    申请日:2019-07-29

    Abstract: An image processing device is disclosed. The image processing device 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 further configured to obtain a first image and a classifier that indicates a purpose of image processing, and to process, by using a deep neural network (DNN), the first image according to the purpose indicated by the classifier, wherein the DNN processes input images according to different purposes.

    IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20210224951A1

    公开(公告)日:2021-07-22

    申请号:US17256560

    申请日:2019-07-16

    Abstract: 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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