An image capturing control apparatus includes a detection unit configured to detect a specific object area in an image captured by an image capturing apparatus, an acquisition unit configured to acquire a first input/output characteristic of the image capturing apparatus, a conversion unit configured to convert the image by acquiring a second input/output characteristic that is an inverse input/output characteristic to the first input/output characteristic, and by applying the second input/output characteristic to the image, and a control unit configured to control exposure of the image capturing apparatus based on a luminance value of the specific object area in the converted image.

An image capturing control apparatus includes a detection unit configured to detect a specific object area in an image captured by an image capturing apparatus, an acquisition unit configured to acquire a first input/output characteristic of the image capturing apparatus, a conversion unit configured to convert the image by acquiring a second input/output characteristic that is an inverse input/output characteristic to the first input/output characteristic, and by applying the second input/output characteristic to the image, and a control unit configured to control exposure of the image capturing apparatus based on a luminance value of the specific object area in the converted image.

This application provides image processing methods and apparatuses that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. An example image processing method includes: obtaining a current frame image, where the current frame image includes a flickering line; determining, based on the current frame image, an interference source frequency that causes the flickering line; and adjusting an exposure time of a next frame based on the interference source frequency to obtain a next frame image that does not include a flickering line.

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 image processing device includes: a light emitting unit that emits a near-infrared ray to a target; a light emission controlling unit that controls a light emission amount of the light emitting unit on a basis of a distance value between the target and the light emitting unit; and a detecting unit that detects a feature point on the basis of a captured image of the target irradiated with the near-infrared ray.

Provided is an imaging apparatus capable of continuously imaging a natural video even though brightness is changed. In an imaging apparatus in which an exposure condition is set based on a characteristic of a transmittance control element, a first exposure condition range is calculated based on photometry of the imaging apparatus. Determination is made whether or not the calculated first exposure condition range is included in a second exposure condition range where a control range acquired by the transmittance control element is applicable. In a case where the calculated first exposure condition range is not included in the second exposure condition range, the exposure condition of the imaging apparatus is changed such that the first exposure condition range is included in the second exposure condition range.

The embodiments of the present disclosure provide a code rate control method and apparatus, an image acquisition device, and a readable storage medium. The method comprises: acquiring the gain and exposure time of an image to be encoded from an image processing module of an image acquisition device; obtaining corresponding reference distortion degree according to the gain and exposure time of said image; calculating the difference between the distortion degree in a characteristic region of said image and the reference distortion degree; calculating a distortion tolerance degree of macro blocks constituting said image according to the difference between the distortion degree in the characteristic region of said image and the reference distortion degree; performing macro block predictions on the respective macro blocks in said image, to obtain an optimum macro block prediction mode; and encoding said image, which corresponds to the optimum macro block prediction mode, in order to control the code rate of said image. By means of the cooperation of image processing and encoding, said method can achieve code rate control while guaranteeing that the encoded image has a good subjective presentation.

The imaging apparatus includes: a processor; and an imaging element that has column signal lines, which are for reading out signals and extend in a first direction, and that has a first pixel group and a second pixel group arranged in the first direction, the first pixel group including phase difference pixels and imaging pixels arranged in a second direction intersecting the first direction and the second pixel group including imaging pixels arranged in the second direction. The processor is configured to set one of a first exposure time, during which the first pixel group is exposed, and a second exposure time, during which the second pixel group is exposed, shorter than the other, and determine which of the first exposure time and the second exposure time is made shorter than the other on the basis of information of a subject image.

One example provides a computing device including a first portion including a first display, a second portion including a second display and a camera, the second portion connected to the first portion via a hinge, a hinge angle sensing mechanism including one or more sensors, a logic device, and a storage device holding instructions executable by the logic device to execute a camera application and to receive sensor data from the one or more sensors, based at least in part on the sensor data received from the one or more sensors, determine a device pose, output the camera application to the first display when the device pose is indicative of the camera being world-facing, and output the camera application to the second display when the device pose is indicative of the camera being user-facing.

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.