VIRTUAL REALITY DISPLAY METHOD, DEVICE AND APPARATUS, AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20220026982A1

    公开(公告)日:2022-01-27

    申请号:US17311393

    申请日:2019-12-16

    Abstract: A virtual reality display method, device, apparatus and storage medium are provided. The method includes: acquiring multimedia data to be displayed and a visible region of a viewer on a curved display surface, wherein the visible region is obtained by projecting a visible range of the viewer to the curved display surface, and is not larger than a display area of the curved display surface; determining target curvatures of at least two positions in the visible region of the viewer, wherein in the target curvatures, target curvatures of different positions are related to a distance to a center of the visible region of the viewer; adjusting, based on the target curvatures of the at least two positions in the visible region, a curvature of a corresponding position on the curved display surface; and mapping the multimedia data to be displayed to the curved display surface having the adjusted curvature.

    IMAGE RECONSTRUCTION METHOD AND DEVICE, APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220036506A1

    公开(公告)日:2022-02-03

    申请号:US17299557

    申请日:2019-12-20

    Abstract: An image reconstruction method, device and apparatus and non-transitory computer-readable storage medium are disclosed. The method may include: determining norms of convolution kernels of each convolutional layer of a deep neural network model; determining the convolution kernels with norms greater than or equal to a preset threshold in each convolutional layer to obtain a target convolution kernel set of each convolutional layer; processing an input image of each convolutional layer by using the convolution kernels in the target convolution kernel set of each convolutional layer respectively, to obtain a first image processing result; obtaining a second image processing result by performing interpolation on an initial image; and determining a fusion result according to the first image processing result and the second image processing result and reconstructing the initial image according to the fusion result.

    VIDEO DENOISING METHOD AND DEVICE, AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220351335A1

    公开(公告)日:2022-11-03

    申请号:US17624237

    申请日:2020-07-14

    Abstract: The present disclosure discloses a video denoising method and device, and a computer-readable storage medium. The video denoising method includes: dividing each video frame in an input video frame sequence into sub-image blocks, and calculating a block variance of each of the sub-image blocks; calculating an average variance of the sub-image blocks in a current video frame according to the calculated block variances, determining a noise level of the current video frame according to the average variance, selecting a denoise strength and a noise characteristic curve that match the noise level; and denoising the current video frame according to the denoise strength and the noise characteristic curve.

    DATA PROCESSING METHOD AND DEVICE, STORAGE MEDIUM AND ELECTRONIC DEVICE

    公开(公告)号:US20220253668A1

    公开(公告)日:2022-08-11

    申请号:US17597066

    申请日:2020-04-20

    Abstract: A data processing method and device, a storage medium and an electronic device are disclosed. The method includes: reading M*N feature map data of all input channels and weights of a preset number of output channels, here a value of M*N and a value of the preset number are respectively determined by preset Y*Y weights; inputting the read feature map data and the weights of the preset number of output channels into a multiply-add array of the preset number of output channels for a convolution calculation; here a mode of the convolution calculation includes: not performing the convolution calculation in a case that the feature map data or the weights of the output channels are zero, and selecting one from same values for the convolution calculation in a case that there are a plurality of feature map data with the same values; and outputting a result of the convolution calculation.

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