The present application provides an image processing circuit, a hand-held electronic device and a method for compensating for motion in an image received by an image sensor. The method includes sub-dividing an array of individual sensor cells from an image sensor adapted for receiving an image into at least a first sub-group and a second sub-group of sensor cells. Multiple timing signals are then generated for use in reading data out of the individual sensor cells of the image sensor. Data values are then read out from the individual sensor cells, wherein the data values from the individual sensor cells of the first sub-group of sensor cells are read out at a first rate using a first timing signal, and the data values from the individual sensor cells of the second sub-group of sensor cells are read out at a second rate using a second timing signal. The second rate is different than the first rate, where the sensor cells in the second sub-group of sensor cells are sampled more frequently than the sensor cells in the first sub-group of sensor cells. Motion of the image sensor is then determined from the data values read out of the individual sensor cells of the second sub-group of sensor cells. The image derived from the data values read out of the individual sensor cells of the first sub-group of sensor cells is then modified using the motion detected for producing a processed image.

An image pickup apparatus includes, between a first unit including an image pickup device and a second unit including a video processing circuit, a waveguide path through which a millimeter wave or a submillimeter wave is transmitted, the second unit includes a millimeter-wave carrier-wave generation circuit and a demodulator configured to regenerate, from a millimeter-wave modulated wave generated by the first unit and received through the waveguide path, a video signal generated by the image pickup device, and the first unit includes a processing-transmission circuit configured to receive a millimeter-wave carrier wave through the waveguide path, generate a millimeter-wave modulated wave by superimposing the video signal generated by the image pickup device on the millimeter-wave carrier wave, and transmit the millimeter-wave modulated wave toward the waveguide path.

An optical device acquires event data based on an output of an event sensor detecting a change in luminance of a subject image and maps the event data acquired in a mapping time to generate a frame. The optical device performs control such that the mapping on the event data is overlapped partially in a plurality of the frames and calculates a motion vector based on the plurality of frames in which there is a difference of the mapping time at a start time of the mapping.

Provided is a camera shake correction device including a first yoke plate, a second yoke plate that is opposed to the first yoke plate, a slider located between the first yoke plate and the second yoke plate, and slidable while supporting an image sensor, a magnet supported by the first yoke plate and configured to form a magnet circuit between the magnet and the second yoke plate, a driving coil fixed to the slider and configured to generate a driving force that slides the slider, a non-magnetic sheet provided between the magnet and the slider, and a magnetic fluid provided between the magnet and the non-magnetic sheet.

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.

An apparatus includes a capturing device configured to capture an image of a subject; an estimation unit configured to estimate, from the captured image of the subject, a speed of the subject at a time point of image capture of a subsequent image, the estimation being performed using a learned model generated through machine learning, and a control unit configured to, based on the estimated speed of the subject, control an image capturing operation for the image capture of the subsequent image by the capturing device.

Disclosed are an electronic device and a method for generating a clock signal within a camera module. The electronic device includes a processor, and a camera module, wherein the camera module may include a clock generation circuit configured to generate a second clock signal, the second clock signal being independent from a first clock signal, the first clock signal being generated by the processor, an optical correction circuit configured to be driven based on the second clock signal, and an image sensor configured to be driven while being synchronized with the optical correction circuit based on the second clock signal, wherein the processor may be configured to transfer a control command to the camera module, based on an input for driving the camera module and to acquire at least one image through the synchronized optical correction circuit and image sensor based on the second clock signal.

An image processing method and device, an electronic apparatus, and a computer-readable storage medium are provided. The method includes: acquiring a first image captured by a first camera, and determining a first timestamp according to the first image, wherein the first timestamp is configured to represent a time point on which the first image is captured; acquiring at least two second images captured by a second camera, and determining a second timestamp according to the at least two second images; and processing the first image and the at least two second images when a time interval between the first timestamp and the second timestamp is smaller than a first interval threshold.

There is provided an image processing apparatus that improves the efficiency of hand shake correction processing by an electronic type hand shake correcting system. The image processing apparatus including a memory section that memorizes a pixel signal output from an imaging element, a region determining section that determines a cutout region of the pixel signal memorized in the memory section on a basis of motion information of the imaging element, and an image processing section that executes image processing with regard to image quality for a pixel signal in the cutout region determined by the region determining section.

An imaging element incorporates a reading portion, a storage portion, a processing portion, and an output portion. The reading portion reads out image data obtained by imaging from a photoelectric conversion element at a first frame rate. The storage portion stores the image data read out from the photoelectric conversion element. The processing portion processes the image data. The output portion outputs the image data processed by the processing portion at a second frame rate. The processing portion detects first image data indicating a specific image from the image data stored in the storage portion. The output portion outputs second image data based on image data different from the first image data detected by the processing portion in the image data of a plurality of frames. The second frame rate is a frame rate lower than the first frame rate.