The image processing unit selects multiple subject areas from strobe-ON image data to be corrected, and, from the selected multiple subject areas, the image processing unit acquires a feature amount such as gloss information corresponding to each subject. Subsequently, from each subject area, the image processing unit selects a part of the subject area, based on the acquired feature amount. Then, regarding the partial area of each subject area, which is selected based on the feature amount, the image processing unit estimates the auxiliary light arrival rate corresponding to each subject, based on a pixel value of the strobe-ON image data and a pixel value of strobe-OFF image data. Thereafter, based on the estimated auxiliary light arrival rate, the image processing unit corrects the brightness of each subject area of the strobe-ON image data, in order to generate corrected image data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a handheld wireless endoscope image streaming apparatus. The apparatus may establish a wireless connection to a computer system. The apparatus may obtain, via a digital camera, video imagery via an endoscope, the video imagery including multiple frames. The apparatus may stream to a computer system video data.

A smart synchronizing method of a web inspection system for monitoring a moving web. A synchronizing device, at least one slave camera, and at least one lighting device illuminate an area of the web arranged to be imaged by the cameras. The method includes transmitting a synchronizing signal to the slave camera. The synchronizing signal includes at least a start pulse and serial data including additional information. All the cameras are synchronized with each other based on synchronization moment when integration of cameras end. A light synchronizing signal is transmitted to the at least one lighting device indicating a switching on and off times of the at least one lighting device, which switching off time corresponds to the synchronization moment, and calculating a starting time of integration based on an individual integration time of a camera and the synchronization moment common for cameras of the web inspection system.

This application provides a method and an apparatus for controlling a light compensation time of a camera module. An example method includes: determining a first target area in a first image shot by a camera before a current frame; determining a first exposure time period of a first target photosensitive chip row in the current frame based on the first target area; and indicating, based on the first exposure time period, an infrared light source to perform light compensation in response to at least that the photosensitive chip is exposed in the current frame.

The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

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 state detection device includes a camera configured to capture an image of an imaging area where a driver is present, a laser configured to emit light toward the imaging area, and an optical member configured to emit the light of the laser with spreading to a predetermined irradiation area.

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.