Honor Device Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Huawei Technologies Co., Limited

Tencent Technology Company Limited

Bin Xiao

Yu Wang

Congchao Zhu

Bo Song Chen

Hailong Liu

Yang Lu

Xiao Liu

Jie Hou

Tao Shao

Dadong Xie

Dajun Ding

Yong Li

Yi Li

Pinlin Chen

Ke Chen

Lei Xiao

Wen Zha

Hantao Cui

Keren Li

Bo Chen

Wei Xue

Huanwen Peng

Yihua Zeng

Xing Jin

Yongqiang Zou

Zhimao Guo

Nan Song

Yuanwen Liu

Shuhong Hu

Demao Zhou

Gang Luo

Wenhong Zhang

Maosen Zhou

Xiaolei Qiao

An image processing method and an electronic device are disclosed, and relate to the field of image processing technologies. The image processing method includes: displaying a first interface, and determining, on the first interface, a first file selected by a user; displaying a second interface, and displaying a generated lookup table on the second interface; determining, on the second interface, a target lookup table selected by the user from the lookup table, and performing color adjustment on the first file by using the target lookup table; and displaying a color-adjusted first file. In the image processing method, an image can be processed according to a user requirement, and difficulty of image processing is reduced.

Image processing method and electronic device

An image processing method and an electronic device are disclosed. The method includes: obtaining a first image sequence in response to a first operation, where the first image sequence includes a first long-exposure image, a first medium-exposure image, and a first short-exposure image; performing preprocessing on the first image sequence to obtain a second image sequence; when the second image sequence includes a second medium-exposure image and a second short-exposure image; performing fusion processing on the second image sequence to obtain a fused image, where the fused image includes a ghosting region, and the ghosting region is an image region that includes a ghosting artifact in the fused image; and processing the fused image to obtain a third image; when the second image sequence comprises only a second medium-exposure image, outputting a low-dynamic range image. Based on this application, ghosting artifacts can be removed from high-dynamic range images.

This application relates to the field of photographing technologies, and discloses an image processing method and an electronic device, so as to dynamically adjust LUTs in a process of photographing or visual recording, and enrich display effects of photographing or visual recording. The electronic device obtains a first image, where the first image is an image captured by a camera of the electronic device, and the first image includes a first shot object; the electronic device determines a first scenario corresponding to the first image, where the first scenario is used to identify a scenario corresponding to the first shot object; the electronic device determines a first LUT based on the first scenario; and the electronic device processes the first image based on the first LUT to obtain a second image, and displays the second image, where a display effect of the second image corresponds to the first LUT.

Image processing method and electronic device for improving display effects in photographing or visual recording

Disclosed in this application are a method for capturing an image during video recording and an electronic device, so that image quality of a captured image is improved. The method includes: displaying a viewfinder screen, where the viewfinder screen displays a preview image stream, the preview image stream includes n frames of preview images obtained based on n frames of first images collected by a camera, the viewfinder screen includes a snapshot shutter, and the n frames of first images are stored in a first buffer queue; stopping recording a video; saving the video; when the camera collects a qframe of first image in the n frames of first images, receiving a third operation performed by the user on the snapshot shutter; and performing image processing on the qframe of first image saved in the first buffer queue to obtain a captured image.

Method for capturing image during video recording and electronic device

An image fusion method and an electronic device, which relate to the field of electronic device technologies, are provided, to simplify a process of capturing a plurality of images with different features. A specific solution includes: capturing, by the electronic device, a first image, a second image, and a third image. The electronic device can process the first image to obtain a fourth image. Then, the electronic device can perform image fusion on the second image and the fourth image to obtain a fifth image. The electronic device can process the third image to obtain a sixth image. Then, the electronic device can perform image fusion on the fifth image and the sixth image to obtain a seventh image.

Image fusion method and electronic device

This application relates to the technical field of electronic devices, and provides an image display method and an electronic device. The solution includes: receiving, a first operation performed by a user on a first interface, where the first interface is a viewfinder interface for image capture by the electronic device, and the first interface includes a preview image; saving, in response to the first operation; displaying, the first image; receiving, a third operation, where the third operation is used for triggering the electronic device to display a first region image in a magnified first image, and the first region image includes a first target region image; and splicing, the second image to the first target region image for displaying in response to the third operation.

Image display method and electronic device

A photographing method includes: starting a camera in response to a first operation; entering a first video recording mode in response to a second operation; capturing first video frames in response to a third operation; and stopping capturing the first video frames in response to a fourth operation, to obtain a target video. The isecond video frame in the target video is obtained by fusing a foreground image of the kfirst video frame captured by the camera and a background image of the jfirst video frame captured by the camera, and the (i+1)second video frame in the target video is obtained by fusing a foreground image of the (k+m)first video frame captured by the camera and a background image of the (j+n)first video frame captured by the camera, where m≠n. In this way, the electronic device can record a video with a special effect.

Photographing method and electronic device

Various embodiments provide methods, apparatus, and electronic devices for image capturing. An exemplary image capturing method can include first acquiring image information via a camera contained in an electronic device and then detecting whether a shake amplitude of the electronic device is within a pre-set range. When the shake amplitude of the electronic device is detected within the pre-set range, the image information acquired by the camera can be captured. An exemplary image capturing apparatus can include an acquisition module for acquiring image information; a first detection module for detecting whether a shake amplitude of an electronic device is within a pre-set range; and a capturing module for capturing the image information, when the first detection module detects that the shake amplitude of the electronic device is within the pre-set range.

Image capturing method, apparatus, and electronic device

A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including a plurality of GPUs; binding each worker thread to a corresponding GPU; loading one batch of training data from a nonvolatile memory to a GPU video memory corresponding to one worker group; transmitting, between a plurality of GPUs corresponding to one worker group, data required by data processing performed by the GPUs through peer to peer; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads.

Model parallel processing method and apparatus based on multiple graphic processing units

A method and device for performing audio recognition, including: collecting a first audio document to be recognized; initiating calculation of first characteristic information of the first audio document, including: conducting time-frequency analysis for the first audio document to generate a first preset number of phase channels; and extracting at least one peak value characteristic point from each phase channel of the first preset number of phrase channels, where the at least one peak value characteristic point of each phase channel constitutes the peak value characteristic point sequence of said each phase channel; and obtaining a recognition result for the first audio document, wherein the recognition result is identified based on the first characteristic information, and wherein the first characteristic information is calculated based on the respective peak value characteristic point sequences of the preset number of phase channels.

Method and device for audio recognition

Systems and methods are provided for program identification. For example, a first audio fingerprint corresponding to a first audio signal is acquired; whether one or more second audio fingerprints in a predetermined fingerprint database match with the first audio fingerprint is detected, a second audio fingerprint corresponding to a second audio signal; and in response to one of the second audio fingerprints matching with the first audio fingerprint, a program associated with the matching second audio signal is provided as a result for program identification associated with the first audio signal.

Systems and methods for program identification

A method and system for image recognition are disclosed. The method includes the steps of acquiring image information for a target object to be recognized at a terminal device; transferring said image information to a server, wherein the server applies feature recognition techniques to the image information, and returns a recognition result; and presenting the recognition result returned by the server at the terminal device. The method and system consistent with the present disclosure may simplify user operations and improve the efficiency and intelligence level of an image recognition system.

Methods and systems for image recognition

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Shenzhen, China

Bin Xiao