Huawei Technologies Co., Limited

Huawei Technoloiges Co., Ltd.

Yinting Wang

Xi Zhang

Yifan Zhang

Yiyang Zhang

Ruihua Li

Changqi Hu

Yining Huang

Huanwen Peng

Feilong Ma

Jinsong Wen

Jinqin Ai

Liping Zhang

Biying Hu

Xingguang Song

Chengtao Zhou

Jinwei Chen

Yi Lei

Haidong Gao

Weihang Shao

Yibo Xing

Yong Guo

Qianwen Zhu

The present disclosure relates to the field of image processing technologies, and discloses a photographing method and apparatus for intelligent framing recommendation, to automatically match an appropriate framing recommendation solution for a user according to an algorithm, so that imaging quality is improved. The method includes: An electronic device obtains at least one framing recommendation result based on images captured by at least two cameras with different focal lengths, where each of the at least one framing recommendation result includes a framing recommendation frame, and the framing recommendation frame indicates a framing recommendation effect of image photographing; and displays a target image based on a framing recommendation result selected by a user among the at least one framing recommendation result, where the target image is obtained through cropping, based on the selected framing recommendation result, the images captured by the at least two cameras.

Photographing method and apparatus for intelligent framing recommendation

This application discloses a photographing method and apparatus, to overcome blurring that occurs during photographing. When a zoom ratio is greater than a first zoom ratio threshold, a long-focus camera is started to capture an image. A zoom ratio of the long-focus camera is greater than or equal to the first zoom ratio threshold. Because a high zoom ratio causes large shake, a rotational blur occurs in the image. According to the photographing method disclosed in this application, a first neural network model for rotational image deblurring is used to implement rotational image deblurring processing. In this way, high imaging quality of an image, a video, or a preview image is presented to a user to some extent, and the imaging effect may not be inferior to the effect of photographing with a tripod.

Photographing method and apparatus

This application discloses an image processing method and apparatus, and relates to the field of image processing technologies, to help optimize a color, a contrast, or a dynamic range of an image, so that an optimized image can be more objective, and robustness is improved. The method is applied to a terminal including a first camera and a second camera. The method includes: when an ISO of the first camera in a current photographing environment is greater than a first threshold, capturing a first image for a first scenario in the current photographing environment; capturing a second image for the first scenario; and optimizing the first image based on the second image to obtain a third image. An image style of the second image is better than that of the first image.

Image processing method and apparatus

An image processing method includes determining a target object in a to-be-photographed scene, determining a preview image based on the target object, a zoom ratio specified by a user, and an original image that is captured by a sensor of a terminal when the terminal uses a target lens to perform photographing at the zoom ratio, and displaying the preview image on a display of the terminal. The preview image may be displayed in a single preview region, or displayed in a plurality of preview regions that are formed in combination with an auxiliary preview image.

An image display method and device are provided. The method is applied to an electronic device having a display screen and a camera. The method includes: detecting a first operation of turning on the camera by a user; displaying a photographing interface on the display screen in response to the first operation, where the photographing interface includes a viewfinder frame including a first image; detecting a second operation of the camera indicated by the user; and displaying a second image in the viewfinder frame in response to the second operation, where the second image is an image obtained by processing N frames of raw images captured by the camera; a neural network model is applied to a processing process, and the neural network model uses an image whose noise is lower than a target threshold as an output objective; and N is an integer greater than or equal to 2.

Image display method and device

An image processing method includes obtaining N frames of images, determining one of the N frames of images as a reference image, where the other N&#x2212;1 frames of images are to-be-processed images, obtaining N&#x2212;1 frames of ghost-free images based on the N&#x2212;1 frames of to-be-processed images, and performing an averaging operation on the reference image and the N&#x2212;1 frames of ghost-free images, to obtain a first target image.

Image processing method and apparatus, and device

The present disclosure discloses a method for image or video shooting. The method is applied to a terminal that includes a first camera, a second camera, and a third camera. The second camera is a black-and-white camera, and the first camera, the second camera, and the third camera are cameras using prime lenses. The third camera is a color camera using a tele-photo lens. The method includes determining at least one camera from the first camera, the second camera, and the third camera based on a target zoom ratio as a target camera. The method further includes capturing, by using the target camera, at least one image that includes a target scene. The method further includes obtaining an output image of the target scene based on the at least one image that includes the target scene. According to the present disclosure, an approximately 5&#xd7; lossless zoom effect is achieved.

Shooting method, apparatus, and device

Growing community of inventors

Hangzhou, China

Yinting Wang