SIGNPOST-BASED NAVIGATION METHOD, COMPUTER READABLE STORAGE MEDIUM AND ELECTRONIC DEVICE

    公开(公告)号:US20200018614A1

    公开(公告)日:2020-01-16

    申请号:US16408597

    申请日:2019-05-10

    Inventor: Ran DUAN Lihua GENG

    Abstract: A signpost-based navigation method, a computer readable storage medium, and an electronic device that implements the method. The method comprises: capturing a visible light signal emitted by a road sign, the visible light signal comprising multiple pieces of different signpost information; selecting, according to indication information corresponding to a current position of a vehicle on a navigation path, at least one piece of signpost information from the multiple pieces of different signpost information as signpost information of a current signpost; and controlling a shutter of shutter glasses so as to display the current signpost through the shutter glasses.

    Display, Display Device, Player, Playing Device, and Playing Display System

    公开(公告)号:US20170134796A1

    公开(公告)日:2017-05-11

    申请号:US15129980

    申请日:2015-10-22

    Inventor: Ran DUAN

    Abstract: Provided are a display, a display device, a player, a playing device, and a playing display system. The display comprises at least two first display interfaces, a decoder, and at least two data channels. Each first display interface is configured to receive a first image data stream transmitted by a second display interface with which a connection has already been established in a player. The first image data stream includes at least one start data frame and a second image data stream, the start data frame carries a data channel identifier. The decoder is configured to parse each first image data stream, and obtain a data channel corresponding to each second image data stream. Each data channel is configured to receive and output the corresponding second image data stream. The display can ensure that images displayed on a screen will not be ordered, and the operation is simple.

    TEXT MATTING METHOD AND APPARATUS BASED ON NEURAL NETWORK, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250087004A1

    公开(公告)日:2025-03-13

    申请号:US18561616

    申请日:2022-12-23

    Inventor: Ran DUAN

    Abstract: The present disclosure provides a text matting method and apparatus based on a neural network, a device, and a storage medium. The text matting method based on a neural network includes: processing a first image with a feature extraction network to obtain feature maps, processing the feature maps with an intermediate processing network to obtain intermediate feature maps, processing the intermediate feature maps with a feature fusion network to obtain a second image, wherein the second image includes a text feature extracted from the first image.

    IMAGE QUALITY EVALUATION METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20250014160A1

    公开(公告)日:2025-01-09

    申请号:US18709800

    申请日:2023-07-31

    Inventor: Dan ZHU Ran DUAN

    Abstract: The present application discloses an image quality evaluation method and apparatus, a device, and a storage medium. The method includes: acquiring a to-be-evaluated image; and inputting the to-be-evaluated image into an image quality evaluation network to obtain an image quality evaluation result, where the image quality evaluation network is configured to extract a first image feature from an input image, perform a shift operation on the first image feature to acquire one or more second image features, and determine the image quality evaluation result by combining the first image feature and the acquired second image features; a size of each of the second image features is the same as a size of the first image feature, and regions with identical values of features exist in different positions between the first image feature and the second image features.

    IMAGE RESTORATION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

    公开(公告)号:US20230177652A1

    公开(公告)日:2023-06-08

    申请号:US17922150

    申请日:2021-05-25

    Inventor: Ran DUAN Dan ZHU

    Abstract: An image restoration method and apparatus, and an electronic device. The method includes: inputting, into a target denoising network, an image to be processed, where the target denoising network includes a single-frame network and a recursive network, and the image to be processed is any frame in a video to be processed (S101); removing, via the single-frame network, compression noise of the image to be processed, and outputting a first image (S102); according to the content of the previous frame of image, removing, via the recursive network, compression noise of the image to be processed, and outputting a second image, where the previous frame of image is the previous frame of image of the image to be processed in the video to be processed (S103); and performing weighted summation on the first image and the second image, and outputting a denoised image for the image to be processed (S104).

    VIDEO ENHANCEMENT METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220318950A1

    公开(公告)日:2022-10-06

    申请号:US17630784

    申请日:2021-03-10

    Abstract: A video enhancement method and apparatus, an electronic device, and a storage medium are described. The method comprises: extracting features from M frames of images, so as to obtain at least one first-scale image feature (S310); for each first-scale image feature, performing N-level down-sampling processing on the first-scale image feature, so as to obtain a second-scale image feature (S320); performing N-level up-sampling processing on the second-scale image feature, so as to obtain a third-scale image feature (S330), wherein the input of ith-level up-sampling processing is an image feature obtained after performing superimposition processing on the output of (N+1−i)th-level down-sampling processing and the output of (i−1)th-level up-sampling processing, and the multiple of jth-level up-sampling is the same as the multiple of (N+1−j)th-level down-sampling; and performing superimposition processing on the third-scale image feature and the first-scale image feature.

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