Abstract:
This application relates to an image enhancement technology in the field of computer vision in the field of artificial intelligence, and provides an image enhancement method and apparatus. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: adjusting a pixel value of a to-be-processed image, to obtain K images, where pixel values of the K images are different, and K is a positive integer greater than 1; extracting local features of the K images; extracting a global feature of the to-be-processed image; and performing image enhancement processing on the to-be-processed image based on the global feature and the local features, to obtain an image-enhanced output image. This method helps to improve the effect of image quality enhancement processing.
Abstract:
An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.
Abstract:
A method, apparatus, and computer program product for processing images by using a convolutional neural network (CNN) are proposed. An original image is received from an image source. The original image has a predefined size and high resolution, and is represented in a first color space supported by the image source. Then, an intermediate image is obtained by downscaling the original image in the first color space, and converted from the first color space to a second color space. Next, a restored image is obtained by upscaling the converted intermediate image to the predefined size of the original image. Said upscaling is performed by using the CNN on the original image and the converted intermediate image as inputs and return the restored image. The CNN is pre-trained on a set of triplets, comprising a past original image, a converted past intermediate image and a past restored image.
Abstract:
In one embodiment, a sliding track of a user is detected on a shortcut touchpad of user equipment to identify a sliding direction of the sliding track. The sliding direction is matched to an interaction interface of the user equipment. One or more objects, such as an icon or an input box, are determined on a touch display screen of the user equipment based on the sliding direction of the sliding track entered by the user. The shortcut touchpad may be made to be relatively small, facilitating a one-hand operation of the user and improving user experience.
Abstract:
An optical reflective multiplexer chip, a laser transmitter chip, and an optical transmitter are disclosed. The optical transmitter includes the laser transmitter chip, an optical fiber, and the optical reflective multiplexer chip. The laser transmitter chip includes a bi-directional light emitting laser, a polarization splitter-rotator, and a first external port. The optical reflective multiplexer chip includes a combiner, a second external port, N third external ports, N microring resonant cavities, N polarization splitter-rotators, N first branch waveguides, and N second branch waveguides. The combiner is connected to the first branch waveguide, the second branch waveguide, and the second external port. The first external port is connected to the third external port by using the optical fiber.
Abstract:
An embedded universal integrated circuit card (eUICC) management method, an eUICC, an SM platform, and a system are provided. The method includes: acquiring, by an eUICC, capability information of a terminal in which the eUICC is embedded; and sending, by the eUICC, the capability information of the terminal to an SM platform, so that the SM platform manages a profile on the eUICC or generates a profile or manages the eUICC according to the capability information of the terminal. Capability information of a terminal in which the eUICC is embedded is reported to an SM platform, so that processing such as generation or management of a configuration file can match the capability information of the terminal, which improves processing accuracy.
Abstract:
The present invention provides an eUICC management method, an eUICC, an SM platform, and a system. The method includes: acquiring, by an eUICC, capability information of a terminal in which the eUICC is embedded; and sending, by the eUICC, the capability information of the terminal to an SM platform, so that the SM platform manages a profile on the eUICC or generates a profile or manages the eUICC according to the capability information of the terminal. Capability information of a terminal in which the eUICC is embedded is reported to an SM platform, so that processing such as generation or management of a configuration file can match the capability information of the terminal, which improves processing accuracy.
Abstract:
This application provides an electronic device with a rollable display. The electronic device includes a device body, the rollable display, and a support assembly. A display area is formed on at least one side surface of the device body. The device body has an initial display state, the device body can be enabled to extend to another extended display state, and an area of the display area in the initial display state is less than an area of the display area in the extended display state. The electronic device not only meets a normal use requirement of a user, but also increases a display area of a display screen, and supports the display screen with a larger display area.
Abstract:
A memory access system includes a memory, a controller, and a redundancy elimination unit. The memory is a multi-way set associative memory, and the redundancy elimination unit records M record items. Each record item is used to store a tag of a stored data block in one of storage sets. The controller determines a read data block and a target storage set of the read data block and sends a query message to the redundancy elimination unit. The query message carries a set identifier of the target storage set of the read data block and a tag of the read data block. The redundancy elimination unit determines a record item corresponding to the set identifier of the target storage set, matches the tag of the read data block with a tag of a stored data block in the record item corresponding to the target storage set of the read data block.