IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20230069072A1

    公开(公告)日:2023-03-02

    申请号:US17888170

    申请日:2022-08-15

    Abstract: An image processing apparatus may include: 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 executes the one or more instructions to use one or more convolutional neural networks to: determine first parameters, based on position information of first pixels included in a first region of a first image and position information of samples of the first image; obtain sample values of the samples by applying the first parameters to pixel values of the first pixels; obtain feature information corresponding to the first region by performing a convolution operation between the sample values and a kernel of the one or more convolutional neural networks; and generate a second image, based on the feature information.

    IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF

    公开(公告)号:US20230360169A1

    公开(公告)日:2023-11-09

    申请号:US18135992

    申请日:2023-04-18

    CPC classification number: G06T3/40 G06T5/50 G06T2207/20016

    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 stored in the memory to obtain first feature information of a first image, generate an intermediate output image for the first image by performing first image processing on the first feature information, generate an attention map, based on the first image and the intermediate output image, obtain second feature information by performing second image processing on the first feature information, obtain fourth feature information by performing third image processing on third feature information extracted during the first image processing, and generate a second image having a higher quality than the first image, based on the attention map, the second feature information, and the fourth feature information.

    IMAGE PROCESSING APPARATUS AND OPERATING METHOD THEREOF

    公开(公告)号:US20230169752A1

    公开(公告)日:2023-06-01

    申请号:US17894685

    申请日:2022-08-24

    CPC classification number: G06V10/761 G06V10/82 G06T3/40

    Abstract: An image processing apparatus, including a processor configured to execute instructions stored in a memory to: obtain characteristic information of a first image, divide the characteristic information into a plurality of groups, input each group into a respective layer of a plurality of layers included in a convolutional neural network and perform a convolution operation using one or more kernels to obtain a plurality of pieces of output information, generate an attention map including weight information corresponding to each pixel included in the first image, based on the plurality of pieces of output information, generate a spatially variant kernel including a kernel corresponding to the each pixel, based on the attention map and a spatial kernel including weight information according to a position relationship between the each pixel and a neighboring pixel, and generate a second image by applying the spatially variant kernel to the first image.

    IMAGE PROCESSING APPARATUS AND OPERATING METHOD THEREOF

    公开(公告)号:US20230169748A1

    公开(公告)日:2023-06-01

    申请号:US18072050

    申请日:2022-11-30

    CPC classification number: G06V10/454 G06V10/22

    Abstract: An image processing apparatus for processing an image by using one or more convolutional neural networks includes a memory storing one or more instructions, and at least one processor configured to execute the one or more instructions stored in the memory to obtain first feature data by performing a convolution operation between input data obtained from a first image and a first kernel, divide a plurality of channels included in the first feature data into first groups, obtain second feature data by performing a convolution operation between the first feature data respectively corresponding to the first groups and second kernels respectively corresponding to the first groups, obtain shuffling data by shuffling the second feature data, obtain output data by performing a convolution operation between data obtained by summing channels included in the shuffling data and a third kernel, and generate a second image based on the output data.

    IMAGE PROCESSING APPARATUS AND OPERATING METHOD OF THE SAME

    公开(公告)号:US20220284565A1

    公开(公告)日:2022-09-08

    申请号:US17687227

    申请日:2022-03-04

    Abstract: An image processing apparatus and a method of operating the same are provided. The method includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to obtain first frequency coefficient information by converting a first image into a frequency domain in units of blocks having a preset size, obtain correlation information indicating a correlation between at least one block of the first frequency coefficient information and a first kernel, generate a weight corresponding to the first frequency coefficient information based on the correlation information, generate second frequency coefficient information by rearranging coefficients included in the first frequency coefficient information, wherein the one or more of the coefficients having a same frequency is arranged into a same group, and obtain quality information of the first image based on the weight and the second frequency coefficient information.

    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.

Patent Agency Ranking