Disclosed in an embodiment of the present invention is an image dynamic range adjustment method, the method comprising: decoding a to-be-adjusted image selected by a user into YUV data; performing regional partition on the to-be-adjusted image according to a predetermined division policy and the YUV data, and obtaining a Y component reference value corresponding to at least one region; adjusting the YUV data corresponding to each region of the at least one region according to an adjusting coefficient, to obtain the adjusted YUV data of each of the regions, the adjusting coefficient being obtained on the basis of the Y component reference value; obtaining the image after the dynamic range adjustment on the basis of the adjusted YUV data. Also disclosed in the embodiment of the present invention are a terminal and a storage media.

A system mountable in a motor vehicle. The system includes a camera and a processor configured to receive image data from the camera. The camera includes a rolling shutter configured to capture the image data during a frame period and to scan and to read the image data into multiple image frames. A near infra-red illuminator may be configured to provide a near infra-red illumination cone in the field of view of the camera. The near infra-red illumination oscillates with an illumination period. A synchronization mechanism may be configured to synchronize the illumination period to the frame period of the rolling shutter. The frame period may be selected so that the synchronization mechanism provides a spatial profile of the near infra-red illumination cone which may be substantially aligned vertically to a specific region, e.g. near the center of the image frame.

There are provided an image capture portion, a luminance acquisition section, a luminance estimation section, and a capture mode setup section. The image capture portion cyclically captures a vehicle compartment. The luminance acquisition section acquires the luminance of a captured image captured by the image capture portion. The luminance estimation section estimates a cyclic change in the luminance of captured images to be captured subsequently. The capture mode setup section settles a capture mode for the image capture portion based on a result of estimating the cyclic change in the luminance of captured images.

Provided are a method and device for adjusting a frame rate of video recording. According to the method, data collected by a sensor of a terminal is acquired; state information is determined according to the acquired data, wherein the state information is used for adjusting a frame rate of video recording of the terminal; the frame rate of video recording of the terminal is adjusted according to the determined state information, thereby reducing the power consumption of the terminal. The technical solution solves the problem in related art of additional power consumption because the frame rate of video recording is dynamically adjusted based on features of an image frame, reduces the power consumption of a video recording function, and improves the endurance capability of the terminal.

In a first sensitivity level, an AD converter performs AD conversion selectively using, in accordance with the level of the analog signal, any one of a first reference signal and a second reference signal that have mutually different slopes, and in a second sensitivity level that is different from the first sensitivity level, the AD converter performs AD conversion only using a third reference signal.

Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

A vehicular vision system includes a camera module configured for mounting at an in-cabin portion of a windshield of a vehicle and including a circuit board and a camera that views forward of the vehicle and through the windshield. The camera includes an imaging sensor array. A data processor is operable to process image data captured by the imaging sensor array for at least one system of the vehicle. The imaging sensor array is electrically connected to circuitry of the circuit board via a flexible electrical connection. The imaging sensor array may be controlled via the flexible electrical connection. Image data captured by the imaging sensor array is carried via the flexible electrical connection. With the camera module mounted at the in-cabin portion of the windshield, the circuit board is tilted at an acute angle relative to the longitudinal axis of a lens barrel of the camera.

An image capturing apparatus acquires a light intensity distribution in an object space through image capturing using a plurality of pixels, sets a coefficient distribution that is a distribution of a coefficient corresponding to each of the plurality of pixels and is to be applied to the light intensity distribution, acquires object space information that is information on the object space and different from the light intensity distribution, sets first pixel group and second pixel groups that are different from each other in the plurality of pixels based on the object space information, and generates a combined image by combining a plurality of light intensity distributions obtained by applying the coefficient distributions to each of the plurality of pixels obtained with a plurality of image capturing conditions.

According to one embodiment, the image processing device includes imagers disposed on an outer circumference of a mobile object for imaging surroundings of the mobile object to generate multiple images including mutually overlapping regions, and a processor that corrects the images on the basis of one color-value mean value and another color-value mean value to generate a peripheral image by combining the corrected images. The one color-value mean value is an average of color values of a target region set in an overlapping region of one of the images. Another color-value mean value is an average of color values of a target region set in an overlapping region of another one of the images.

An imaging apparatus has a first mode in which a determination unit determines an exposure timing of an imaging unit based on a timing calculated by a calculation unit after a light metering unit performs light metering a first number of times, and a second mode in which the determination unit determines the exposure timing of the imaging unit based on the timing calculated by the calculation unit after the light metering unit performs the light metering a second number of times.