Provided is method for rectifying an image using an electronic device. The method includes simultaneously capturing a first image of a scene using a first image sensor and a second image of the scene using a second image sensor, a first field of view (FOV) of the first image sensor being different from a second FOV of the second image sensor; identifying a motion characteristic in the first image; determining a motion function based on one of the first image and a capture process of the first image that caused the motion characteristic in the first image; scaling the motion function from the first image by a scale of the first image sensor with respect to the second image sensor; and applying the scaled motion function onto the second FOV of the second image to obtain a rectified second image without the motion characteristic.

A method for limiting motion blur in a visual tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, identifying camera operating parameters of the optical sensor for the first image, determining a motion of the optical sensor for the first image, determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor, and adjusting the camera operating parameters of the optical sensor based on the motion blur level.

System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

An electronic device of an embodiment of the present document may include a camera including a lens assembly, at least one sensor configured to detect a movement of the camera or the lens assembly, and a processor electrically connected to the camera and the at least one sensor. The processor may determine an exposure value that will be applied when photographing using the camera, obtain image frames, based on the exposure value, obtain movement information on the camera or the lens assembly by using the at least one sensor while the image frames are being obtained, determine an image stabilization strength, based on the exposure value and the movement information, and perform video digital image stabilization (VDIS) for the image frames, based on the image stabilization strength.

A shutter speed determination device includes a motion detector and controller. The motion detector, on a block-by-block basis having a specified block size, performs detection processing of a motion vector for image data obtained by capturing a subject image. The controller, while reducing the block size, causes the motion detector to execute the detection processing repeatedly, each time executing the detection processing the controller finds a motion vector related value that changes in a same direction as a direction in which a magnitude of the motion vector changes, the controller determines a shutter speed used when capturing the subject image thereafter, based on the motion vector related value found.

Various embodiments provide an electronic device and a method for controlling an operation of the electronic device. An electronic device according to various embodiments of the present invention may comprise: a lens unit; an image sensor; a memory used for intra-prediction of an image captured using the image sensor, and storing direction modes differently configured according to characteristics of a partial area of the lens unit; and a processor, wherein the processor: acquires a raw image corresponding to an external object by using the image sensor; divides the raw image into multiple blocks; selects a block, on which intra-prediction is to be performed, from among the multiple blocks; determines a direction mode to be used for intra-prediction of the selected block on the basis of a distortion parameter of a partial area of the lens unit corresponding to the selected block; performs the intra-prediction on the selected block on the basis of the determined direction mode; and generates a compressed image corresponding to the raw image on the basis of a result of the intra-prediction. In addition, various embodiments are possible.

An evaluation method of an image stabilization effect of an imaging device includes calculating an evaluation value of the image stabilization effect on the basis of shutter speed values in case of which each of a reference shake amount theoretically calculated on the basis of a shake waveform applied to the imaging device and a measured shake amount calculated using an image captured in a state in which the imaging device is vibrated becomes a specified shake amount, and setting the specified shake amount. The setting includes calculating an image deterioration amount of the imaging device caused by something other than a shake from the outside, and selecting a determination level that defines the specified shake amount from a plurality of determination levels having different shake amounts on the basis of the image deterioration amount.

A method includes detecting, based on sensor data from a sensor on a mobile device, an environmental brightness measurement, where the mobile device comprises a display screen configured to adjust display brightness based on environmental brightness. The method further includes determining, based on image data from a camera on the mobile device, an extent to which the detected environmental brightness measurement is caused by reflected light from the display screen. The method additionally includes setting a rate of exposure change for the camera based on the determined extent to which the detected environmental brightness measurement is caused by reflected light from the display screen.

A digital camera includes a vibration detector, an imaging element shift mechanism that corrects a shake of an image captured by an imaging element, and a system control unit, in which the system control unit performs a first control of driving the imaging element shift mechanism based on vibration information output from the vibration detector, and in a case where it is determined to be in a first state based on the vibration information, predicts the vibration information (angular velocity) output from the vibration detector at a timing of finish of the first state.

An electronic device is provided. The electronic device includes a camera including a plurality of lenses, a display, and a processor, in which the processor is configured to display a plurality of icons corresponding to the plurality of lenses, based on first position information in a first photographing mode, and upon selection of a first icon by a first gesture from the plurality of icons in the first photographing mode, switch to a second photographing mode and display a zoom control region including a plurality of zoom levels having a first zoom level of a first lens corresponding to the first icon as a reference zoom level and the plurality of icons rearranged based on second position information corresponding to the plurality of zoom levels.