An image sensor includes: a first imaging region that captures an image of light entering through an optical system under a first imaging condition and generates a detection signal to perform focus detection of the optical system; and a second imaging region that captures an image of the light entering through the optical system under a second imaging condition other than the first imaging condition and generates an image signal.

A system, method, and computer program product are provided for capturing digital images. In use, at least one ambient exposure parameter is determined, and at least one flash exposure parameter based on the at least one ambient exposure parameter is determined. Next, via at least one camera module, an ambient image is captured according to the at least one ambient exposure parameter, and, via the at least one camera module, a flash image is captured according to the at least one flash exposure parameter. The captured ambient image and the captured flash image are stored. Lastly, the captured ambient image and the captured flash image are combined to generate a first merged image. Additional systems, methods, and computer program products are also presented.

There is provided a control device including a control unit configured to perform exposure control of a first pixel group and exposure control of a second pixel group independently of each other, the first pixel group and the second pixel group being disposed in a single imaging surface. The control unit controls gain or an exposure time of the first pixel group and gain or an exposure time of the second pixel group independently of each other.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Embodiments are directed to an electronic device including a camera module capturing a video, a memory, and a processor sequentially storing, in the memory, each of a plurality of frames respectively focused during the video capture on a plurality of frame areas selected from the video.

An example method includes determining, by a controller of an image capture system, a plurality of sets of exposure parameter values for one or more exposure parameters. The plurality of sets of exposure parameter values are determined at an exposure determination rate. The method further includes capturing, by an image capture device of the image capture system, a plurality of images. Each image of the plurality of images is captured according to a set of exposure parameter values of the plurality of sets of exposure parameter values. The method also includes sending, by the controller of the image capture system to an image processing unit, a subset of the plurality of images. Each subset of images is sent at a sampling rate, and the sampling rate is less than the exposure determination rate.

An example electronic device may include a memory, an image sensor, and at least one processor operatively connected to the memory and the image sensor, wherein the memory is configured to store instructions which, when executed by the at least one processor, cause the electronic device to acquire, through the image sensor, a plurality of images including first images having a first size and at least one second image having a second size larger than the first size, acquire a first synthesis image based on the first images, acquire a first moving object portion from the first synthesis image, based on synthesis area information including at least one of moving object location information or background location information, identify a second moving object portion in the at least one second image, based on the synthesis area information, and acquire a second synthesis image by replacing the second moving object portion by the first moving object portion, and other embodiments are possible.

An example electronic device may include a memory, an image sensor, and at least one processor operatively connected to the memory and the image sensor, wherein the memory is configured to store instructions which, when executed by the at least one processor, cause the electronic device to acquire, through the image sensor, a plurality of images including first images having a first size and at least one second image having a second size larger than the first size, acquire a first synthesis image based on the first images, acquire a first moving object portion from the first synthesis image, based on synthesis area information including at least one of moving object location information or background location information, identify a second moving object portion in the at least one second image, based on the synthesis area information, and acquire a second synthesis image by replacing the second moving object portion by the first moving object portion, and other embodiments are possible.

Provided are an image capturing method and apparatus, a device and a storage medium. The method includes: at a new acquisition moment, predicting a predicted projection area position of a target object in a current captured image on an image sensor and estimated exposure brightness information of the target object in the predicted projection area position; adjusting, according to a type of the target object and the estimated exposure brightness information, an exposure parameter of the target object in the predicted projection area position when the new acquisition moment arrives; and acquiring a new captured image at the new acquisition moment according to the adjusted exposure parameter, where both the new captured image and the current captured image include the target object.

The present disclosure relates to navigation and to systems and methods for using a dual sensor readout channel to allow for frequency detection. In one implementation, at least one processing device may receive a plurality of images acquired by a camera onboard a host vehicle, wherein the plurality of images are received via a first channel and via a second channel, and wherein the first channel is associated with a first frame capture rate, and the second channel is associated with a second frame capture rate different from the first frame capture rate. The processing device may use images received via the first channel to detect flickering and non-flickering light sources in an environment of the host vehicle; and provide, based on images received via the second channel, images for showing on one or more human-viewable displays.