METHOD AND APPARATUS WITH SUPERSAMPLING
    1.
    发明公开

    公开(公告)号:EP4369283A3

    公开(公告)日:2024-06-05

    申请号:EP23176811.0

    申请日:2023-06-01

    IPC分类号: G06T3/4046 G06T3/4053

    CPC分类号: G06T3/4053 G06T3/4046

    摘要: A supersampling method and apparatus are provided. The method includes: receiving a low-resolution three-dimensional (3D) image comprising a current frame and receiving a previous frame preceding the current frame; generating a low-resolution partial image by repeatedly sampling sub-pixel regions of the current frame; warping a high-resolution image, of the previous frame, which has been outputted from a neural network, to a current view corresponding to the current frame; replacing a partial region of the warped high-resolution image of the previous frame with image data from the low-resolution partial image; and generating a high-resolution image of the current frame by applying the high-resolution image of the previous frame, in which the partial region has been replaced, to the neural network.

    METHOD AND APPARATUS WITH SUPERSAMPLING
    2.
    发明公开

    公开(公告)号:EP4369283A2

    公开(公告)日:2024-05-15

    申请号:EP23176811.0

    申请日:2023-06-01

    IPC分类号: G06T3/4046 G06T3/4053

    CPC分类号: G06T3/4053 G06T3/4046

    摘要: A supersampling method and apparatus are provided. The method includes: receiving a low-resolution three-dimensional (3D) image comprising a current frame and receiving a previous frame preceding the current frame; generating a low-resolution partial image by repeatedly sampling sub-pixel regions of the current frame; warping a high-resolution image, of the previous frame, which has been outputted from a neural network, to a current view corresponding to the current frame; replacing a partial region of the warped high-resolution image of the previous frame with image data from the low-resolution partial image; and generating a high-resolution image of the current frame by applying the high-resolution image of the previous frame, in which the partial region has been replaced, to the neural network.

    COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM PRODUCT AND SYSTEM  FOR PROCESSING IMAGES

    公开(公告)号:EP4383184A3

    公开(公告)日:2024-06-26

    申请号:EP23217520.8

    申请日:2020-07-08

    IPC分类号: G06T3/4046 G06T3/4053

    CPC分类号: G06T3/4053 G06T3/4046

    摘要: A computer-implemented method is provided for processing images. The method comprises: down-sampling a plurality of first images having a first resolution for obtaining a plurality of second images having a second resolution, the first resolution being higher than the second resolution, each one of the plurality of second images being a down-sampled version of one of the plurality of first images; training an artificial neural network, ANN, model (40) to process an input image and output an output image having a higher resolution than the input image, wherein training data for the training comprises pairs of images, each pair of images including: one of the plurality of second images as an input to the ANN model (40); and one of the plurality of first images, corresponding to the one of the plurality of second images, as a desired output from the ANN model (40) in case the one of the plurality of second images is input to the ANN model (40); inputting at least one of the plurality of first images to the trained ANN model (40); and obtaining at least one output image from the trained ANN model (40), the at least one output image having a third resolution that is higher than the first resolution.

    ELECTRONIC APPARATUS AND IMAGE PROCESSING METHOD THEREOF

    公开(公告)号:EP4414930A3

    公开(公告)日:2024-10-23

    申请号:EP24184661.7

    申请日:2019-11-21

    IPC分类号: G06T5/60 G06T3/4046

    摘要: 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.

    METHOD AND APPARATUS FOR SUPER RESOLUTION
    9.
    发明公开

    公开(公告)号:EP4339877A1

    公开(公告)日:2024-03-20

    申请号:EP23183254.4

    申请日:2023-07-04

    IPC分类号: G06T3/4046 G06T3/4053

    摘要: Systems and methods for super-resolution (SR) are described. The SR method includes determining a direction type of an input image based on a gradient of the input image, obtaining a first intermediate image based on the direction type using a look-up table (LUT) that stores an SR operation result of a pixel value combination corresponding to a kernel set mapped to the determined direction type, wherein the first intermediate image is an SR image corresponding to the input image, applying SR interpolation to the input image to obtain a baseline image, and obtaining an output image based on the first intermediate image and the baseline image.