Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

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.

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

The present disclosure relates to an image processing apparatus and method capable of suppressing an increase in load of inverse adaptive color transform processing while suppressing an increase in distortion of coefficient data subjected to inverse adaptive color transform.

The coefficient data subjected to the lossless adaptive color transform is clipped at a level based on a bit depth of the coefficient data, and the coefficient data clipped at the level is subjected to lossless inverse adaptive color transform. The present disclosure may be applied to, for example, an image processing apparatus, an image coding device, an image decoding device, a transmission device, a reception device, a transmission/reception device, an information processing device, an imaging device, a reproduction device, an electronic device, an image processing method, an information processing method, or the like.

An image processing method and an image processing unit for performing image processing determines a set of one or more filtered pixel values, wherein the one or more filtered pixel values represent a result of processing image data using a set of one or more filtering functions. A total covariance of the set of one or more filtering functions is identified. A refinement filtering function is applied to the set of one or more filtered pixel values to determine a set of one or more refined pixel values, wherein the refinement filtering function has a covariance that is determined based on the total covariance of the set of one or more filtering functions.

An image coloring method includes: acquiring first color a priori information about an image-to-be-colored; transforming the first color a priori information to obtain second color a priori information aligned with the image-to-be-colored; downsampling the image-to-be-colored to obtain a first image feature; performing modulation coloring processing on the first image feature based on the second color a priori information to obtain a second image feature; and upsampling the second image feature based on the second color a priori information to obtain a first colored image, where the first colored image is aligned with the image-to-be-colored.

A texture filtering unit applies anisotropic filtering using a filter kernel which can be adapted to apply different amounts of anisotropy up to a maximum amount of anisotropy. If it is determined that a received input amount of anisotropy is not above the maximum amount of anisotropy, the filter kernel applies the input amount of anisotropy, and texels of a texture are sampled using the filter kernel to determine a filtered texture value. If it is determined that the input amount of anisotropy is above the maximum amount of anisotropy, the filter kernel applies an amount of anisotropy that is not above the maximum amount of anisotropy, a plurality of sampling operations are performed to sample texels of the texture using the filter kernel to determine a respective plurality of intermediate filtered texture values, and the plurality of intermediate filtered texture values are combined to determine a filtered texture value which has been filtered in accordance with the input amount of anisotropy and the input direction of anisotropy.

An information processing apparatus extracts colors used for an image, links each color to one of color groups including a first color group and a second color group, displays, in a first region of a UI, a representative color associated with a group, of the color groups, to which extracted color is linked, displays a color palette including one color in a second region of the UI, and replaces a color included in the image and belonging to the color group associated with the selected representative color with a color selected from the color palette. If the color groups include groups to which at least one extracted color is linked, representative colors respectively associated with the groups to which at least one of the extracted colors is linked are displayed in the first region.