Abstract: Embodiments of this application provide a time-lapse shooting method and a device, and relate to the field of shooting technologies. Therefore, a shooting scenario may be automatically identified, a plurality of photos with a relatively good effect are obtained through shooting based on a target shooting parameter that matches the shooting scenario, and video coding is performed on the plurality of photos to generate a time-lapse video with a relatively good effect.

Abstract: A photographing method and a device configured to capture, in a slow shutter exposure mode, a photo in which a subject image is clear and a background image has a motion blur, so as to improve a photographing experience. The device may display a preview image with an image of a first object in a preview background image a motion blur, and a preview subject image not having a motion blur. The device may display an intermediate image on a photographing interface after detecting a photographing operation. On the intermediate image, an image of a second object in an intermediate background image has a motion blur, and an intermediate subject image does not have a motion blur. On a generated photo, an image of the second object in a target background image has a motion blur, and a target subject image does not have a motion blur.

Abstract: 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 ith second video frame in the target video is obtained by fusing a foreground image of the kth first video frame captured by the camera and a background image of the jth first video frame captured by the camera, and the (i+1)th second video frame in the target video is obtained by fusing a foreground image of the (k+m)th first video frame captured by the camera and a background image of the (j+n)th first video frame captured by the camera, where m?n. In this way, the electronic device can record a video with a special effect.

Abstract: 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.

Abstract: Embodiments of this application provide a time-lapse shooting method and a device, and relate to the field of shooting technologies. Therefore, a shooting scenario may be automatically identified, a plurality of photos with a relatively good effect are obtained through shooting based on a target shooting parameter that matches the shooting scenario, and video coding is performed on the plurality of photos to generate a time-lapse video with a relatively good effect.

Abstract: This application provides an image distortion correction method and an apparatus. The method includes: performing optical distortion correction on a collected source image, to obtain a first corrected image, where the first corrected image includes a background region and a portrait in which stretching deformation occurs, and the portrait in which stretching deformation occurs includes at least a first human body region in which stretching deformation occurs and a second human body region in which stretching deformation occurs; and performing algorithm constraint correction on the first human body region, the second human body region, and the background region, to obtain a second corrected image, where constraint terms used for the algorithm constraint correction respectively constrain the first human body region, the second human body region, and the background region.