ROTATING DISPLAY APPARATUS AND METHOD OF DRIVING THE SAME

    公开(公告)号:US20240212537A1

    公开(公告)日:2024-06-27

    申请号:US17915848

    申请日:2021-05-28

    CPC classification number: G09G3/005 G09G3/2003 G09G3/3275 G09G2300/0439

    Abstract: A rotating display apparatus is provided. The rotating display apparatus includes a pixel array and a control device. The pixel array is capable of rotating around a rotation axis in the pixel array, the pixel array includes a plurality of pixel units, and the plurality of pixel units are arranged in a plurality of pixel columns distributed in a direction perpendicular to the rotation axis. Pixel units in each pixel column are arranged in a direction parallel to the rotation axis and operate at a same refresh frequency. A refresh frequency of pixel units in a pixel column close to the rotation axis is less than a refresh frequency of pixel units in a pixel column far away from the rotation axis. The control device is configured to control the pixel units in each pixel column to operate at a refresh frequency corresponding to the pixel column.

    METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGES, AND STORAGE MEDIUM

    公开(公告)号:US20230345135A1

    公开(公告)日:2023-10-26

    申请号:US17790388

    申请日:2021-05-25

    CPC classification number: H04N23/80 G06T7/80

    Abstract: Provided are an image processing method, apparatus and device, and a storage medium. The image processing method comprises: acquiring a plurality of original sub-images collected by means of a plurality of cameras in a camera array; converting first pixel coordinates of each pixel in each original sub-image in an image coordinate system into target pixel coordinates in a target plane coordinate system; determining a region pixel value of each sub-region according to the correspondence between the target pixel coordinates of each pixel in each original sub-image and each sub-region in a target plane; and determining a spliced image in the target plane according to the region pixel value of each sub-region. According to the present disclosure, the algorithm is simple, and original sub-images can be quickly and accurately processed, so as to obtain a spliced image with a relatively high image quality.

    IMAGE DISPLAY METHOD AND DEVICE, AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20230316451A1

    公开(公告)日:2023-10-05

    申请号:US17609636

    申请日:2020-12-25

    Abstract: The present disclosure discloses an image processing and display method, apparatus and device, and a computer storage medium thereof, belonging to the field of display technologies. The method includes: transmitting a first image of a first resolution to a display component at a first frequency in the case that the mode information indicates a first mode, wherein the first image is formed by splicing a plurality of sub-images of a second resolution; and transmitting a second image of the first resolution to the display component at a third frequency in the case that the mode information indicates a second mode, wherein n second images form a frame of image of the display component. The present disclosure provides two types of display modes. In one mode, a first image composed of a plurality of sub-images can be transmitted to a display component, such that the display component displays these sub-images at a higher frequency. In another mode, a frame of image can be transmitted to the display component a plurality of times. The display methods are flexible, which solves the problem of low flexibility in the methods in the related technology, and achieves the effect of improving the flexibility of the image display method.

    IMAGE PROCESSING METHODS, ELECTRONIC DEVICES, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA

    公开(公告)号:US20230082346A1

    公开(公告)日:2023-03-16

    申请号:US17793487

    申请日:2021-06-16

    Abstract: An image processing method includes: according to position coordinates of any interpolation pixel in a target image, determining position coordinate of the interpolation pixel in an original image; calculating a two-dimensional image entropy of an (n×n) neighborhood of the interpolation pixel in the original image; when it is greater than or equal to a preset entropy threshold value, calculating a pixel value of the interpolation pixel based on all original pixels; when it is less than the preset entropy threshold, calculating gradient values in at least two edge directions within the threshold neighborhood and determining whether there is a strong-edge direction; if so, calculating the pixel value of the interpolation pixel based on a plurality of original pixels in the strong-edge direction; if not, calculating the pixel value of the interpolation pixel based on all the original pixels.

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