A system, method, and computer program product are provided for obtaining low-noise, high-speed captures of a photographic scene. In use, a first cell of a first pixel is in communication with a first node for storing a first sample. Further, a second cell of a second pixel is in communication with a second node for storing a second sample. Still further, the first cell and the second cell are communicatively coupled.

An image capturing apparatus that is capable of accurately acquiring motion vectors according to a photographing environment and performing blur correction with high accuracy. The image capturing apparatus includes an image sensor, and a photometry unit that performs photometry of a photographing environment. A motion vector calculation section calculates motion vectors based on images acquired by the image sensor. A camera system controller calculates a reliability of the motion vectors. A photographing condition determination section determines photographing conditions for consecutively photographing a plurality of images by the image sensor, according to a photometry result and the calculated reliability.

A method and processor system are provided which analyze a depth map, which may be obtained from a range sensor capturing depth information of a scene, to identify where an object is located in the scene. Accordingly, a region of interest may be identified in the scene which includes the object, and image data may be selectively obtained of the region of interest, rather than of the entire scene containing the object. This image data may be acquired by an image sensor configured for capturing visible light information of the scene. By only selectively obtaining the image data within the region of interest, rather than all of the image data, improvements may be realized in the computational complexity of a possible further processing of the image data, the storage of the image data and/or the transmission of the image data.

Embodiments of the present invention are a high dynamic range (HDR) synthesis method and apparatus, an image processing chip and an aerial camera. The method includes: acquiring a plurality of to-be-synthesized images having different exposure time; calculating a mean brightness of the to-be-synthesized images; determining an image brightness type of the to-be-synthesized images according to the mean brightness; calculating a brightness difference between adjacent pixel points in one to-be-synthesized image; calculating an inter-frame difference of different to-be-synthesized images at a same pixel point position according to the brightness difference; determining a motion state of the to-be-synthesized images at the pixel point position according to the inter-frame difference; and weighting and synthesizing the to-be-synthesized images into a corresponding HDR image according to the image brightness type and the motion state.

An image processing method includes an electronic device that outputs a first frame rate when the electronic device detects that ambient light brightness in a current environment is less than or equal to a first preset light brightness threshold; collects first video data based on the first frame rate, where the first video data includes a plurality of frames of images; and performs frame interpolation on the frames of images to obtain and store second video data, where a frame rate of the second video data is greater than the first frame rate.

An image processing method and a device configured to implement the same are disclosed. The device comprises: a hybrid imaging device configured to obtain optical input; and a processing device in signal communication with the hybrid imaging device. The processing device comprises: a motion detection circuit that performs feature tracking based on a first component of an obtained optical input; a motion estimation circuit that performs motion compensation based on output of the motion detection unit; a frame reconstruction circuit that reconstructs image frame based on both the output of the motion estimation unit and a second component of the optical input; and an output unit that outputs image frame at a predetermined global frame rate.

A client device is configured to communicate with an access point over a wireless network, exchanging data with the access point over a selected communication channel. The client device stores an identifier of the selected communication channel. After the wireless connection to the access point has ended, the client device initiates a process to reconnect to the access point over the selected communication channel using the stored identifier.

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.

An imaging system for creating an image of a target object comprising a mirror mounted on a gimbal and arranged to rotate about at least one axis, a gimbal drive unit configured to control the orientation of the gimbal, and a camera having its optical axis directed onto the mirror in order that an image reflected in the mirror is within a field of view of the camera, wherein the control unit is arranged to position the gimbal such that a reflection of a target object is within a field of view of the camera.

An electronic device includes a first camera supporting a first FOV, a second camera supporting a second FOV, and a processor. The processor is configured to obtain a first image having the first FOV using the first camera, to obtain a second image, which is associated with the first image and has the second FOV using the second camera, to adjust at least one operation attribute of the first camera based on the second image, and to obtain a third image having the first FOV based on the adjusted at least one operation attribute using the first camera.