In a method for embedding user information in webpages, user information of a user who logs into a target website is obtained. The user information is converted into color values. The color values are embedded in a target webpage of the target website. If a webpage is leaked, a user who leaks the webpage can be traced.

The album creation application of the present disclosure displays image data, to which trimming is performed, and a template, which includes a slot in which the image data is arranged, so that a slot and image data to be arranged in the slot are selected by use of an input device. Position information of a point of interest in the image to be arranged in the slot is obtained. Composition patterns applicable to the image with designation of the point of interest are presented to the user, and the composition pattern to be applied, which is selected by the user from among the presented composition patterns, is obtained. Trimming is performed based on the point of interest and the selected composition pattern selected. The trimmed images are listed, so that multiple trimmed images are presented to the user as trimming proposals.

Various methods and systems are provided for artifact reduction with resolution preservation. In one example, a method includes obtaining projection data of an imaging subject, identifying a metal-containing region in the projection data, interpolating the metal-containing region to generate interpolated projection data, extracting high frequency content information from the projection data in the metal-containing region, adding the extracted high frequency content information to the interpolated projection data to generate adjusted projection data, and reconstructing one or more diagnostic images from the adjusted projection data.

A 3-D convolutional autoencoder for low-dose CT via transfer learning from a 2-D trained network is described, A machine learning method for low dose computed tomography (LDCT) image correction is provided. The method includes training, by a training circuitry, a neural network (NN) based, at least in part, on two-dimensional (2-D) training data. The 2-D training data includes a plurality of 2-D training image pairs. Each 2-D image pair includes one training input image and one corresponding target output image. The training includes adjusting at least one of a plurality of 2-D weights based, at least in part, on an objective function. The method further includes refining, by the training circuitry, the NN based, at least in part, on three-dimensional (3-D) training data. The 3-D training data includes a plurality of 3-D training image pairs. Each 3-D training image pair includes a plurality of adjacent 2-D training input images and at least one corresponding target output image. The refining includes adjusting at least one of a plurality of 3-D weights based, at least in part, on the plurality of 2-D weights and based, at least in part, on the objective function. The plurality of 2-D weights includes the at least one adjusted 2-D weight.

Provided are an method for generating an animation and apparatus, an electronic device, and a computer-readable storage medium. The method for generating an animation comprises: determining a background image and a first foreground image of an original image (S110); respectively rotating, scaling and translating the first foreground image and a first 2D sticker image to obtain a second foreground image and a second 2D sticker image, wherein the first 2D sticker image is generated in advance on the basis of a predetermined coverage manner and according to the original image (S120); mixing the second foreground image with the background image to obtain a first mixed image (S130); and mixing the first mixed image with the second 2D sticker image to generate an animation of the original image (S140).

The present application discloses a method and apparatus for displaying a virtual landscape picture, a storage medium, and an electronic device. The method includes acquiring a plurality of landscape layer types comprised in the target landscape area to be displayed and determining a type weight corresponding to each landscape layer type in the plurality of landscape layer types; screening at least one target landscape layer type with a corresponding type weight which satisfies a condition from the plurality of landscape layer types, and acquiring an index value of a landscape layer corresponding to each of the screened at least one target landscape layer type; and sequentially storing the index value in each image color channel of the landscape layer index map to obtain the landscape layer index map corresponding to the target landscape area to be displayed.

A theme icon generation method includes obtaining an application icon, where the application icon includes a transparent region and an opaque region, and the opaque region includes an icon background and a first logo graphic; segmenting a first logo graphic from the opaque region; adjusting a size of the first logo graphic to generate a second logo graphic; and fusing the second logo graphic with a theme template to generate a theme icon

A theme icon generation method includes obtaining an application icon, where the application icon includes a transparent region and an opaque region, and the opaque region includes an icon background and a first logo graphic; segmenting a first logo graphic from the opaque region; adjusting a size of the first logo graphic to generate a second logo graphic; and fusing the second logo graphic with a theme template to generate a theme icon

The present disclosure relates to methods and apparatus for display processing. For example, disclosed techniques facilitate region of interest tracking for in-motion frames. Aspects of the present disclosure can identify a layer of interest of a plurality of layers associated with a frame. Aspects of the present disclosure can also determine coordinates for a region of interest based on characteristics associated with the identified layer of interest. Further, aspects of the present disclosure can perform display processing on the region of interest of the frame based on the coordinates for the region of interest.

The present disclosure relates to methods and apparatus for display processing. For example, disclosed techniques facilitate region of interest tracking for in-motion frames. Aspects of the present disclosure can identify a layer of interest of a plurality of layers associated with a frame. Aspects of the present disclosure can also determine coordinates for a region of interest based on characteristics associated with the identified layer of interest. Further, aspects of the present disclosure can perform display processing on the region of interest of the frame based on the coordinates for the region of interest.