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.

An example electronic device includes a camera module, a display, and a processor. The processor is configured to: obtain a magnification input corresponding to a first magnification; acquire first image data corresponding to a second magnification, which is different from the first magnification, from among image data obtained by an image sensor of a first camera module, based on the obtaining of the magnification input; determine second image data corresponding to at least a part of the acquired first image data; perform shaking correction on the generated second image data; and display a preview image having the first magnification on the display, based on the second image data.

A blur correction device includes a processor and a memory that is built into or coupled to the processor. The processor is configured to acquire an amount of blur correction used to correct blurring of an image obtained by imaging of an imaging element during exposure for one frame in the imaging element, and correct the blurring by performing image processing based on a most recently acquired amount of blur correction, on an unfinished image that is the image less than one frame that is being read from the imaging element. In a case in which a first reading period does not overlap with a second reading period, the processor corrects the blurring by performing the image processing based on the amount of blur correction acquired during exposure between the first reading period and the second reading period, on the unfinished image of the subsequent frame.

An electronic apparatus includes: an image sensor for acquiring an image including normal pixel values that are sensed during a first exposure time and short exposure pixel values that are sensed during a second exposure time that is shorter than the first exposure time; and a processor configured to acquire flag information that indicates that a selected region, among a plurality of regions of the image, is one of a motion region and a normal region by using an exposure ratio of the first exposure time and the second exposure time and by using a short exposure pixel value and normal pixel values, which are included in the selected region, and configured to output a restoration image including a restoration pixel value that is corrected from the short exposure pixel value that is included in the selected region, based on the flag information.

A method of de-smearing an image includes capturing image data from an imaging sensor and collecting motion data indicative of motion of the sensor while capturing the image data. The motion data is collected at a higher frequency than an exposure frequency at which the image data is captured. The method includes modeling motion of the sensor based on the motion data, wherein motion is modeled at the higher frequency than the exposure frequency. The method also includes modeling optical blur for the image data, modeling noise for the image data, and forming a de-smeared image as a function of the modeled motion, the modeled blur, and the modeled noise, and the image data captured from the imaging sensor.

Embodiments provide a lens moving apparatus including a bobbin having a lens barrel, a housing configured to accommodate the bobbin, an upper elastic member coupled to the bobbin and the housing, a lower elastic member coupled to the bobbin and the housing, a first coil disposed on the bobbin, a first magnet disposed on the housing, a circuit board disposed below the housing, a second coil disposed on the circuit board, a first sensor to output a first output signal based on a sensed result of a magnetic field strength of the first magnet, a first capacitor connected in parallel to the first sensor.

An image capture system for enhanced electronic image stabilization (EIS) includes an image capture device and an adapter lens. The image capture device includes an image sensor, a lens housing, a processor, and a lens assembly that includes a first group of optical elements disposed within the lens housing. The first group of optical elements are used project an image onto the image sensor. The processor performs EIS. The adapter lens is used to enhance EIS of the image capture device. The adapter lens has an adapter lens housing that interfaces with the lens housing. The adapter lens has a second group of optical elements disposed within the adapter lens housing. The second group of optical elements are used to project the image as an image circle on the image sensor.

An electronic device includes a camera; a motion sensor; a memory; and at least one processor. The at least one processor may be configured to acquire motion information of the electronic device from the motion sensor according to executing an image acquisition mode; determine an image stabilization scheme based on at least one part of the motion information; and perform a stabilization operation on at least one image acquired through the camera, based on the determined image stabilization scheme. The image stabilization scheme may include a first stabilization scheme for correcting shaking of the at least one image based on a first margin region; and a second stabilization scheme for correcting shaking of the at least one image based on a second margin region larger than the first margin region.

A method for stabilization of a video sequence captured by an electronic device is provided. The method includes identifying a subject in the video sequence, estimating a velocity of the subject relative to the electronic device, determining a point of view of a subject in the video sequence with respect to the electronic device and the velocity of the subject relative to the electronic device and stabilizing the video sequence based on the determined point of view.

Systems, apparatus, and methods for stabilization and blending of exposures. So-called Electronic Image Stabilization (EIS) techniques use image manipulation software to compensate for camera motion. Unfortunately, existing EIS techniques cannot compensate for artifacts introduced by low shutter speed (e.g., blurs). Various embodiments of the present disclosure generate stabilized images from multiple exposures. In one exemplary embodiment, the stabilized exposures are blended using a linear sum of the color data for each pixel of the image. By stabilizing each exposure and linearly summing the light information, the camera shake can be removed, and the subject motion blur can be controlled. The stabilization and blending techniques enable a mathematical emulation of a selected shutter angle from many high-speed exposures.