A method for stabilizing a video sequence comprises: obtaining an indication of camera movement from acquisition of a previous camera frame to acquisition of a current camera frame; determining an orientation for the camera at a time of acquiring the current camera frame; and determining a candidate orientation for a crop frame for the current camera frame by adjusting an orientation of a crop frame associated with the previous camera frame according to the determined orientation. A boundary of one of the camera frame or crop frame is traversed to determine if a specific point on the boundary of the crop frame exceeds a boundary of the camera frame. If so, a rotation of the specific point location which would bring the specific point location onto the boundary of the crop frame is determined and the candidate crop frame orientation updated accordingly before the crop frame is displayed.

There is provided a system (100) for performing image motion compensation. The system comprises a light source (110), an imaging unit (120), and a control unit (130). The light source is configured to provide multiplexed illumination to an object in a plurality of color channels, the imaging unit is configured to capture a first image and a second image of the object in the plurality of color channels, and the control unit is configured to determine an estimated motion of pixels between the first image and the second image in a first color channel, and to generate a first motion compensated image by extrapolating the estimated motion of pixels between the first image and the second image to at least another one of the plurality of color channels.

An apparatus includes a calculation unit configured to calculate a target correction amount based on a shake, a stabilization control unit configured to provide control on driving of a sensor in a direction intersecting an optical axis of a pickup optical system, based on the target correction amount, an autofocusing control unit configured to provide control on focusing based on an image signal output from the sensor, and a setting unit configured to set a limit value for the target correction amount based on a characteristic of the pickup optical system and focusing accuracy of the autofocusing unit. The setting unit is configured to change the limit value depending on the pickup condition, and is capable of setting a first limit value based on the characteristic and a second limit value based on the focusing accuracy.

An anti-shake image processing method, apparatus, electronic device and storage medium are disclosed. The method includes the following steps. A current actual posture of an imaging device at a current shooting moment of capturing an original image of current frame and multiple reference actual postures of the imaging device at multiple shooting moments of capturing the original images of adjacent multiple frames of the original image of the current frame are obtained. A path smoothing process is performed to determine a current virtual posture after path smoothing at the current shooting moment. A coordinate transformation is performed on the original image of the current frame captured in the current actual posture to an estimated position of the original image of the current frame when captured in the current virtual posture in a pixel coordinate system to obtain a first correction image of the current frame.

A complementary metal-oxide semiconductor (CMOS) image sensor (CIS) with a simplified stacked structure and improved operation characteristics includes an upper chip, in which a plurality of pixels are arranged in a two-dimensional array structure, and a lower chip below the upper chip including a logic region having logic circuits and a memory region having embedded therein magnetic random access memory (MRAM) used as image buffer memory for storing image data processed by the logic region.

A control apparatus includes a first acquirer configured to acquire first blur information based on a motion vector calculated using an imaging signal from an image sensor, a second acquirer configured to acquire second blur information based on a blur signal from a blur detector, and a controller configured to control driving of an image stabilizing element in accordance with third blur information obtained by using the first blur information and the second blur information. A weight for the first blur information in acquiring the third blur information is determined based on a comparison between the first blur information and the second blur information.

A blur correction device includes: an acquisition unit that acquires an amount of blur correction used to correct blurring of an image obtained through imaging of an imaging element during exposure for one frame in the imaging element; and a correction unit that corrects the blurring by performing image processing on a correction target image, which is an image for one frame included in a moving image obtained through imaging of the imaging element, based on the amount of blur correction acquired by the acquisition unit during exposure necessary to obtain the correction target image.

Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.

A system for converting global shutter image data into simulated rolling shutter image data may include a global-to-rolling shutter image converter. The converter may be configured to receive global shutter image data associated with a plurality of global shutter images. The global shutter image data may include dynamic global shutter image data representative of a moving object in the plurality of global shutter images. The converter may also be configured to determine an optical flow field based at least in part on two or more of the plurality of global shutter images and generate the simulated rolling shutter image based at least in part on the optical flow field. The converter may also be configured to generate high dynamic range (HDR) images based at least in part on the optical flow field and the global shutter image data.

Apparatus and methods for applying motion blur to overcapture content. In one embodiment, the motion blur is applied by selecting a number of frames of the captured image content for application of motion blur; selecting a plurality of pixel locations within the number of frames of the captured image content for the application of motion blur; applying motion blur to the captured image content in accordance with the selected number of frames and the selected plurality of pixel locations; and outputting the captured image content with the applied motion blur. In some implementations, motion blur is applied via implementation of a virtualized neutral density filter. Computerized devices and computer-readable apparatus for the application of motion blur are also disclosed.