A video image stabilization processing method and an electronic device are provided and related to the field of electronic technologies. The method includes: in a multi-view recording mode, cropping, by using a target object as a center, a video picture captured by a front-facing camera or a video picture with a large zoom ratio, to achieve picture stabilization; and compensating another video picture according to a motion feature of an electronic device, to achieve picture stabilization.

A method for operating an electronic device includes: obtaining an image using at least one of a first camera having a first FOV or a second camera comprising a reflective member and having a second FOV narrower than the first FOV; obtaining, from a motion sensor, first movement information of the electronic device, which is shaken to correspond to the obtaining of the image; obtaining information on movement of the reflective member of the second camera according to at least one of an optical image stabilizer (OIS) correction operation or an object tracking operation during at least a portion of a period in which the image is obtained; obtaining output information by performing an image stabilization operation with respect to the image based on at least one of the first movement information or the information on the movement of the reflective member; and outputting an image corrected by correcting distortion of the image based on a distortion variation resulting from the movement of the reflective member and the output information.

A correction control apparatus outputs a blur correction amount associated with an image blur with respect to a group of captured images. The apparatus obtains status information indicating an image capture status of the group of images, obtains a result of detection of a motion blur with respect to the group of images, derives the blur correction amount based on the obtained result, outputs the blur correction amount and controls a method of derivation of the blur correction amount. The apparatus includes a filter that extracts components of a first frequency band from the result, and derives the blur correction amount based on the components of the first frequency band associated with the motion blur extracted by the filter, and causes the first frequency band extracted by the filter to vary in accordance with the obtained status information.

An apparatus includes one or more processors and/or circuitry which function as: an object detection unit configured to detect a main object, a first motion detection unit configured to detect a motion vector of the main object, a second motion detection unit configured to detect a movement of an image capturing apparatus, a control unit configured to control a correction unit, and a determination unit configured to determine whether the main object is changed between a first timing when a first image is captured and a second timing when a second image is captured. In a case where the determination unit determines that the main object is changed, the control unit changes a control from image blur correction based on the motion vector of the main object to image blur correction based on the movement of the image capturing apparatus.

There is provided an image processing device including: a camera outputting a first image obtained by photographing an object that is moving; and a control module generating a coded pattern for controlling a shutter exposure time and reconstructing a second image in which motion blur of the first image is removed, wherein the control module detects a moving speed of the object, and generates the coded pattern based on a point spread function (PSF) range set according to the moving speed.

An apparatus controls image blur correction by using a first correction unit and a second correction unit having a lower image blur correction performance than that of the first correction unit. The apparatus includes a first acquisition unit configured to acquire a first division ratio, a determination unit configured to determine a final division ratio based on the first division ratio, and a control unit configured to control the first and second correction units based on the determined final division ratio. The determination unit can determine a division ratio where a ratio of the first correction unit is larger than that in the first division ratio, as the final division ratio.

This application discloses a video image anti-shake method and a terminal, and relates to the field of image processing, to implement compensation for translational shake in a Z direction. A video image anti-shake method includes: turning on, by a terminal, a camera lens, and photographing a video image by using the camera lens; detecting, by the terminal, shake on an X-axis, a Y-axis, and a Z-axis during photographing, where the Z-axis is an optical axis of the camera lens, the X-axis is an axis perpendicular to the Z-axis on a horizontal plane, and the Y-axis is an axis perpendicular to the Z-axis on a vertical plane; and performing, by the terminal, anti-shake processing on the video image based on the shake on the X-axis, the Y-axis, and the Z-axis. Embodiments of this application are applied to video image anti-shake.

The disclosure relates to a method for processing video data, apparatus, electronic equipment, and storage medium. The method for processing video data can include switching to a target anti-shake shooting mode in response to acquiring a switching operation in a video shooting interface; acquiring a video editing operation corresponding to the target anti-shake shooting mode; obtaining target video data by processing video data collected in real time based on the video editing operation; and outputting the target video data in the video shooting interface.

In accordance with some embodiments, systems, methods, and media for motion adaptive imaging using single-photon image sensor data are provided. In some embodiments, the system comprises: an image sensor comprising single-photon detectors in an array; a processor programmed to: receive a sequence of photon frames, each comprising pixels having a value indicative of whether a photon was received during a frame period, each of the pixels corresponds to a pixel location; identify, for each of the pixel locations, changepoints, each indicative of a change in scene brightness; identify a photon frame in the sequence at which at least a threshold change in brightness has occurred based on the changepoints associated with each of the plurality of pixel locations; and generate a series of changepoint frames, wherein each changepoint frame is based on estimated brightness associated with each pixel location at a point in the sequence of photon frames.

An image processing apparatus comprises: an acquisition unit for acquiring each of motion vector amounts of video signals each obtained from a plurality of camera units; a determination unit for determining whether or not each of the motion vector amounts is appropriate; and a control unit for performing image blur correction for the video signal for which the motion vector amount determined to be not appropriate has been obtained by using the motion vector amount determined to be appropriate if it is determined by the determination unit that at least one of the motion vector amounts is not appropriate, and to perform image blur correction for the video signals by sharing any one of the motion vector amounts determined to be appropriate by the determination unit or by using the respective motion vector amounts if it is determined by the determination unit that the respective motion vector amounts are appropriate.