This application discloses a for displaying a two-dimensional figure of a virtual object performed by a computer device. The method includes: rendering a two-dimensional image of a virtual object based on a corresponding three-dimensional figure model according to a plurality of preset parameters; displaying a target interface comprising the two-dimensional image of the virtual object; and displaying an updated two-dimensional image of the virtual object when an update condition is met, wherein the updated two-dimensional image corresponds to the three-dimensional figure model of the virtual object.

Embodiments of the present disclosure provide a method, an electronic device, and a program product for image processing. In one embodiment, a method may include: at an edge node of a network, obtaining a first image generated based on data associated with a target event, wherein the first image has a first resolution ratio. Additionally, the method may further include: sending a second image converted from the first image to a terminal device, wherein the second image has a second resolution ratio higher than the first resolution ratio. According to the embodiments of the present disclosure, by rendering a low-resolution-ratio image at a cloud server and transmitting the image to an edge node or a terminal device for reconstructing a high-resolution-ratio image, the bandwidth and time delay of high-definition image transmission can be significantly reduced, so that the user experience is improved.

Disclosed is a method and device for processing Image, and an image transmitting system. The method includes that: data to be transmitted are processed according to a first resolution to obtain first image data, wherein the image resolution represented by each row of image data in the first image data is the first resolution, and the first resolution is the maximum resolution set by a system; and the first image data is folded to obtain second image data, wherein the number of rows of the second image data is greater than that of the first image data, the image resolution represented by each row of image data in the second image data is a second resolution, and the second resolution is less than the first resolution.

The present embodiments relate generally to a system and method for generating images from ultrasound imaging data. The system can include a data acquisition processor, and administrator processor, a user device, and a server. The method can include transmitting images to a server, applying an implicit misfit function to generate a first set of images, then, based on this first set, apply an explicit misfit function to generate a second set of images of higher accuracy.

Systems, methods, and non-transitory computer-readable media can generate an address associated with an image. The address can be generated to embed a parameter that specifies a quantity of image portions for representing a particular version of the image. A request can be acquired from a client device for an instance of the image. The request can include the address that embeds the parameter. It can be determined whether a predefined version of the image is stored at an edge server. The predefined version can utilize a predefined quantity of image portions to represent the image. The particular version of the image can be generated, in response to the request for the instance of the image and when the predefined version is stored at the edge server, based on at least a portion of the predefined version and based on the quantity of image portions specified by the parameter.

Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.

A computing device may include a processor and memory configured to determine a factor in which to scale content displayable on a client computing device based upon a ratio of physical sizes of different screens on which to display the content. One of the different screens may be that of the client computing device. The processor may be configured to select a portion of the content to display on the client computing device based on the determined factor and a position within the content at which there is an indication of interest. The processor may be further configured to transmit the selected portion of the content to the client computing device, so as to enable display of the selected portion rather than an entirety of the content.

A head-mountable display (HMD) system includes at least one detector to detect movement of an eye of a user wearing the HMD, control circuitry to detect saccadic movement of the eye in dependence upon the detected movement of the eye, a display unit and a processor to generate images for display to the user by the display unit, in which the control circuitry is configured to control the processor in response to the detected saccadic movement, in which the control circuitry is configured to control the processor to adjust one or more image quality parameters for one or more of the images to be displayed by the display unit during the detected saccadic movement.

A recurrent unit is proposed which, at each of a series of time steps receives a corresponding input vector and generates an output at the time step having at least one component for each of a two-dimensional array of pixels. The recurrent unit is configured, at each of the series of time steps except the first, to receive the output of the recurrent unit at the preceding time step, and to apply to the output of the recurrent unit at the preceding time step at least one convolution which depends on the input vector at the time step. The convolution further depends upon the output of the recurrent unit at the preceding time step. This convolution generates a warped dataset which has at least one component for each pixel of the array. The output of the recurrent unit at each time step is based on the warped dataset and the input vector.

Disclosed is a system and associated methods for dynamically rendering an image with varying detail that emulates human vision and that provides a dynamic resolution or level of detail at each layer of the image that is equal to or greater than the resolvable detail that can be detected by human vision within each layer. The system may adjust a non-linear function based on one or more of a display size, a display resolution, and a viewer distance from a display. The system may determine a dynamic resolution or level of detail for each layer of the image based on the adjusted non-linear function. The system may render the image data at or greater than the dynamic resolution or level of detail determined for each layer.