Abstract: An image restoration method includes: for a plurality of consecutive frames of images of a target video, acquiring an optical flow image between an image to be restored and each of a plurality of reference images; wherein the plurality of reference images comprise at least a previous frame image and a next frame image that are adjacent to the image to be restored; based on the optical flow image between each of the plurality of reference images and the image to be restored, performing motion estimation from the reference image to a moment of the image to be restored, to obtain a motion estimation image; and restoring defects of the image to be restored based on motion estimation images respectively corresponding to the plurality of reference images, to obtain a restored target image; wherein the defects comprise at least a defect of a bad pixel type.

Abstract: The present disclosure relates to the technical field of displays, and in particular to a display method, system, apparatus, device, program, and medium. The method includes: acquiring a 3D video signal in response to a frame start signal; processing the 3D video signal according to human eye coordinates sent by a human eye data collection end to obtain left and right eye images; sending and display the left and right eye images on the display end in response to a third trigger signal; generating first and/or second trigger signals according to the third trigger signal, and sending the first and/or second trigger signals to the human eye data collection end so that the human eye data collection end collecting a human eye image in response to the first trigger signal, and performing human eye tracking processing to acquire the human eye coordinates.

Abstract: Embodiments of the present disclosure provide a residual image compensation method and apparatus, a display device, and a computer-readable storage medium. The method includes: obtaining a target image, where the target image is a current frame image for being displayed on a display panel; when a visual content of the target image is displayed on the display panel for a duration that does not exceed a preset duration, determining whether there is a residual image on the display panel; in the case that there is a residual image on the display panel, determining a residual image region of the display panel, and determining a residual image compensation parameter according to a display property of the display panel and image information of an image displayed in the residual image region; performing, according to the residual image compensation parameter, residual image compensation on a next frame image to be displayed.

Abstract: A tiled display screen, a display method, a tiled display system, a computer device, a computer non-transitory readable storage medium are provided. The tiled display screen includes: a plurality of display modules each including a receiver, a processor, and at least one display panel. the processor is configured to acquire heat accumulation data of each display region in the display module; determining target gray-scale compensation data of each pixel according to the heat accumulation data, a heat influence coefficient among different display regions, first gray-scale data of the pixel corresponding to the data to be displayed, and a pre-generated gray-scale compensation table; and compensating a gray scale of the pixel according to the target gray-scale compensation data.

Abstract: The present disclosure provides an image style conversion method. The image style conversion method includes: acquiring a first image, wherein the first image includes text information; performing image processing on the first image by a text matting neural network model to obtain a text mask; performing style conversion on the text mask based on a preset application scenario to obtain a converted text mask; and performing image fusion on the converted text mask and a background image of the preset application scenario to obtain a converted image after image style conversion.

Abstract: Data query methods, apparatuses and computer-readable media are described. In an example process of processing, by a third party, a federated data table formed based on data of a plurality of data parties, if related data need to be obtained based on sorting of multiple attribute columns of the data table, when the federated data table is sorted based on attribute values of the attribute columns, a row identifier is introduced for an out-of-order data table obtained by disordering the federated data table, and an index is created based on the row identifier. The row identifier is determined by the third party and exists in a form of ciphertext in an index table. A row identifier of a candidate row can be restored to a plaintext.

Abstract: The present disclosure provides a multiplexer and a detector. The multiplexer includes a dielectric base plate, a connection structure, and a plurality of bandpass filters with different operation frequencies. A conductive thin film layer is disposed on a side plane of the dielectric base plate, the conductive thin film layer includes a signal wire and one or more grounding plates on a side of the signal wire. The connection structure is disposed on a side, on which the conductive thin film layer is provided, of the dielectric base plate, and includes a main branch and a plurality of branches, where the main branch is connected to the plurality of branches respectively, and the main branch serves as an input port of the multiplexer. Each of the plurality of bandpass filters with different operation frequencies is disposed on the side, on which the conductive thin film layer is provided, of the dielectric base plate, and is connected to the signal wire and the one or more grounding plates.

Abstract: A terminal includes: a display panel; a control circuit, connected to the display panel and configured to control the display panel to display an image according to initial display data and target display data generated based on the initial display data and a correction model when receiving a correction instruction.

Abstract: A model training method includes: acquiring a sample set, wherein samples in the sample set include a blurred image and a sharp image of a same fingerprint; inputting the blurred image into a convolutional neural network, performing, by an encoding network in the convolutional neural network, down-sampling and feature extraction to the blurred image, to output a plurality of feature maps, and performing, by a decoding network in the convolutional neural network, up-sampling and feature extraction to the feature maps, to output a predicted image corresponding to the blurred image; according to the predicted image, the sharp image and a predetermined loss function, calculating a loss value of the convolutional neural network, and, with minimizing the loss value as a target, adjusting parameters of the convolutional neural network; and determining the convolutional neural network of which the parameters are adjusted to be an image processing model.

Abstract: Disclosed in the present invention is a terahertz kinetic inductance bolometer, including a superconducting thin film layer, a terahertz antenna, a cutoff layer and a Si substrate, wherein the superconducting thin film layer and the terahertz antenna are respectively deposited on the cutoff layer, and the cutoff layer is deposited on the Si substrate; the superconducting thin film layer includes a superconducting feeder line, an inter-digital capacitor and an inductor coil; the inter-digital capacitor is connected with the inductor coil in parallel to form an oscillation circuit; the terahertz antenna is adjacent to the inductor coil and is used to convert a received terahertz signal into heat so that the inductor coil produces an inductance change; a resonance frequency in the inter-digital capacitor changes through the inductance change; and the superconducting feeder line receives the varying resonance frequency, through which an light intensity of the terahertz signal can be obtained to complete the detec

Abstract: The present disclosure relates to the technical field of computers, and provides a speech data processing method and device. The method includes: acquiring speech data to be processed; sending said speech data to a programmable logic unit to perform speech feature extraction on said speech data, to acquire a speech feature vector corresponding to said speech data; in programmable logic unit, converting the speech feature vector into a multi-channel input feature map; sending the input feature map to a computer-in-memory chip, and performing speech keyword spotting on the input feature map by using a pre-configured speech keyword spotting model on the computer-in-memory chip to obtain a speech keyword spotting result; and feeding back the speech keyword spotting result to a main control system, the main control system is configured to execute, according to the speech keyword spotting result, a response operation corresponding to the speech keyword spotting result.

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.

Abstract: The present disclosure provides a screen control method and apparatus, a display apparatus, a device and a medium, which belongs to the technical field of display screens. The method is applied to a controller of a Mini LED screen, and includes the following steps: acquiring a temperature and a gray scale of the screen; confirming that there is a sticking image on the screen when the temperature exceeds a stable temperature range corresponding to the gray scale; and controlling the screen to adjust the red-pixel value according to the temperature to eliminate the sticking image.

Abstract: The present disclosure provides an information display method, a display device, an electronic device, and a computer-readable medium, the information display method including: in a case where a first display device displays content to be annotated, displaying annotation information corresponding to the content to be annotated, in response to an annotation operation for the content to be annotated; and sending the annotation information to a second display device, so that the second display device displays the annotation information in an area corresponding to the content to be annotated.

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).

Abstract: The present disclosure provides a display control method, including: performing a splitting processing on a source video stream of a display panel in response to a multi-path display control instruction, to obtain a plurality of same video sub-streams; acquiring a processing parameter corresponding to each video sub-stream, and processing the video sub-stream according to the processing parameter; and performing a tiling and merging operation on the processed video sub-streams to obtain an output video stream, and outputting the output video stream to the display panel for displaying. The present disclosure further provides a display control device, a display apparatus, and a computer readable medium.

Abstract: A system includes a motor, a camera module, and a mobile terminal. The motor includes a base, a support base, and a shape memory alloy actuator. The shape memory alloy actuator is connected between the base and the support base, and the shape memory alloy actuator is configured to drive the support base to move relative to the base.

Abstract: Embodiments of the disclosure provide a method for detecting bad points in a video, including: performing extreme filtering respectively on first, second and third frames of images which are sequentially and continuously in the video to obtain first, second and third filtered images, respectively; wherein the extreme filtering is one of maximum filtering and minimum filtering; determining first and second difference images according to the first, second and third filtered images; determining a candidate image according to the first and second difference images; and determining that at least part of points in the second frame of image corresponding to the valid point in the candidate image are bad points. The embodiment of the disclosure also provides a device and a computer-readable medium for detecting bad points in the video.

Abstract: A tiled display screen, a display method, a tiled display system, a computer device, a computer non-transitory readable storage medium are provided. The tiled display screen includes: a plurality of display modules each including a receiver, a processor, and at least one display panel. the processor is configured to acquire heat accumulation data of each display region in the display module; determining target gray-scale compensation data of each pixel according to the heat accumulation data, a heat influence coefficient among different display regions, first gray-scale data of the pixel corresponding to the data to be displayed, and a pre-generated gray-scale compensation table; and compensating a gray scale of the pixel according to the target gray-scale compensation data.

Abstract: Provided is a spliced display screen. The spliced display screen includes a plurality of display screen modules, a plurality of control modules, and a communication bus; an image processing algorithm is configured in each control module; the each of the plurality of control modules is configured to receive video information and send an edge signal supplement request to other control modules; determine whether the communication bus is occupied by the each of the plurality of control modules; determine the each of the plurality of control modules as a master control module and other control modules as slave control modules; read at least part of edge information via the communication bus; and perform imaging processing on the received video information and multiple pieces of the at least part of edge information to generate image sub-information; and the plurality of display screen modules are configured to display received image sub-information.