A method for controlling an autoexposure function of a camera to a gray level setting, the method including establishing a critical exposure time of an image sensing device of the camera, wherein the critical exposure time of the image sensing device of the camera is an exposure time at which a first sensed gray level of the image sensing device of the camera is disposed at a target gray level, the sensed gray level is disposed in a trend of decreasing sensed gray level values; exposing the image sensing device of the camera to light to obtain a second sensed gray level and comparing the second sensed gray level at the critical exposure time to the target gray level, if the second sensed gray level is disposed at least at the target gray level, limiting the exposure of the image sensing device of the camera to the critical exposure time.

A system can automatically adjust a virtual background used by a participant in a video conference to match lighting level conditions present in a foreground of a participant video stream captured at a participant device. The matching can be done by adjusting one or more virtual background parameters, including but not limited to, exposure, brightness, contrast, and ISO. In some implementations, the system can dynamically or automatically adjust the lighting levels of the virtual background based on changes that may occur to the lighting level of the foreground during the video conference.

A system can automatically adjust a virtual background used by a participant in a video conference to match lighting level conditions present in a foreground of a participant video stream captured at a participant device. The matching can be done by adjusting one or more virtual background parameters, including but not limited to, exposure, brightness, contrast, and ISO. In some implementations, the system can dynamically or automatically adjust the lighting levels of the virtual background based on changes that may occur to the lighting level of the foreground during the video conference.

An imaging device is provided. The imaging device may sense light passing through a corresponding imaging lens and a corresponding color filter in sensing elements disposed in a sensing region for each color channel, and generate sensing data based on a grouping of color intensity values sensed by the sensing elements for each sensing region based on a binning size determined based on an illuminance of light.

An imaging device is provided. The imaging device may sense light passing through a corresponding imaging lens and a corresponding color filter in sensing elements disposed in a sensing region for each color channel, and generate sensing data based on a grouping of color intensity values sensed by the sensing elements for each sensing region based on a binning size determined based on an illuminance of light.

An imaging apparatus amplifies signal voltage resulting from voltage conversion of signal charge obtained by photoelectric conversion of an optical image of an object and then performs digital conversion to the signal voltage. The imaging apparatus includes an amplifier circuit that amplifies the signal voltage using two or more amplification factors that are set, a weight determining unit configured to determine weights for the respective signals subjected to the digital conversion after the amplification based on the two or more amplification factors, and a combining unit configured to combine the two or more signals subjected to the digital conversion after the amplification using the weights.

A method for image capture includes identifying a bright spot in an image. A neural network is used to recover details in bright spot area through a trained de-noising process. Post-processing of the image is conducted to match image parameters of recovered details in the bright spot area to another area of the image.

A method for image capture includes identifying a bright spot in an image. A neural network is used to recover details in bright spot area through a trained de-noising process. Post-processing of the image is conducted to match image parameters of recovered details in the bright spot area to another area of the image.

A method for obtaining exposure data and an electronic device are provided. The method for obtaining exposure data includes: determining a scan synchronization signal corresponding to a target area on a display screen of the electronic device; determining, based on the scan synchronization signal, a real-time screen-off area and movement parameter information of the real-time screen-off area; determining, based on pixels occupied by the real-time screen-off area, the movement parameter information, and pixels occupied by the target area, a coverage duration for the real-time screen-off area to continuously cover the target area and a time interval between two coverages; and controlling, based on the coverage duration and the time interval, a target photosensitive component in the electronic device to be exposed to obtain exposure data. The target area is an area corresponding to the target photosensitive component on the display screen.

Embodiments of the present invention provide a control method for an image acquisition device, a control device therefor, and a storage medium, relate to the field of the image acquisition device, and aim to realize synchronization of an operation timing signal of the image acquisition device and an external trigger signal. The method comprises: receiving image data acquired by the image acquisition device; analyzing the image data, obtaining an image timing according to an analysis result, and determining a frame synchronization signal of the image data output by the image acquisition device according to the image timing; determining a phase offset between the frame synchronization signal and a preset trigger signal; and adjusting a phase of a control signal based on the phase offset, wherein the control signal is configured for adjusting an operation timing of the image acquisition device.