ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20220027791A1

    公开(公告)日:2022-01-27

    申请号:US17497193

    申请日:2021-10-08

    Abstract: An electronic device is disclosed. The electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor is configured to: input second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer.

    ELECTRONIC APPARATUS AND IMAGE PROCESSING METHOD THEREOF

    公开(公告)号:US20200349675A1

    公开(公告)日:2020-11-05

    申请号:US16734001

    申请日:2020-01-03

    Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.

    DISPLAY APPARATUS AND IMAGE PROCESSING METHOD THEREOF

    公开(公告)号:US20200211234A1

    公开(公告)日:2020-07-02

    申请号:US16399018

    申请日:2019-04-30

    Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.

Patent Agency Ranking