A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

To improve the image quality of image data in a solid-state imaging device that reads a signal according to a potential difference between respective floating diffusion regions of a pair of pixels. A pixel unit is provided with a plurality of rows each including a plurality of pixels. A readout row selection unit selects any of the plurality of rows as a readout row every time a predetermined period elapses, and causes each of the plurality of pixels in the readout row to generate a signal potential according to a received light amount. A reference row selection unit selects a row different from a previous row from among the plurality of rows as a current reference row every time the predetermined period elapses, and causes each of the plurality of pixels in the reference row to generate a predetermined reference potential. A readout circuit unit reads a voltage signal according to a difference between the signal potential and the reference potential.

A method for compensating a Power Supply Rejection Ratio (PSRR) in an image sensor, the method includes receiving, by processing circuitry, at least one analog signal from an active pixels sensor (APS) array, the at least one analog signal including power supply noise, combining, by the processing circuitry, amplified power supply noise with at least one ramp signal to obtain combined power supply noise, and compensating, by the processing circuitry, the PSRR of the APS array by cancelling the power supply noise of the at least one analog signal using the combined power supply noise.

An image display system includes a projector projecting image light onto a projection surface, at least one camera picking up at least one image of the projection surface and thus acquiring at least one picked-up image, at least one microphone detecting a sound generated in an image pickup range of the camera, and a control device controlling a position or an orientation of an image displayed on the projection surface by the image light, based on the at least one picked-up image, when a target sound is detected based on the sound.

An endoscope includes: an image sensor in which a color filters having two or more colors is disposed at an imaging position and has a predetermined array pattern; and a correction processing unit configured to repeatedly perform processing of changing a target pixel value at a target imaging position to a median value between a neighboring pixel value and the target pixel value, while changing the target imaging position, when a pixel value at a neighboring imaging position near the target imaging position including at least two most neighboring imaging positions on a row closest to the target imaging position with the target imaging position interposed therebetween at an imaging position of a color filter, which is on a row along one direction identical to the target imaging position in image data output from the image sensor, and has a same color as a color filter at the target imaging position, is set as a neighboring pixel value.

A video capture method includes: controlling an image sensor to capture a plurality of first sensor output frames at a first frame rate during a first period; during the first period, checking if a motion blur condition is met; in response to the motion blur condition being met during the first period, controlling the image sensor to capture a plurality of second sensor output frames at a second frame rate during a second period following the first period, wherein the second frame rate is higher than the first frame rate; and processing consecutive sensor output frames captured by the image sensor during the first period and the second period, to generate a plurality of output frames.

Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed to compensate for the predicted color changes experienced by camera modules after certain amounts of time of real world use. Such color changes may be caused by prolonged exposure of optical components of the camera module to one or more of: solar radiation, high temperature conditions, or high humidity conditions, each of which may, over time, induce deviation in the color response of optical components of the camera module. The techniques disclosed herein may first characterize such predicted optical change to components over time based on particular environmental conditions, and then implement one or more time-varying color models to compensate for predicted changes to the camera module's color calibration values due to the characterized optical change. In some embodiments, optical changes in other types of components, e.g., display devices, caused by prolonged environmental stresses may also be modeled and compensated.

Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

This application provides an image obtaining method and apparatus. The image obtaining method according to this application includes: obtaining first original image data, where the first original image data is captured by an image sensor based on an initial visible light exposure parameter and luminous intensity of an infrared illuminator; obtaining a luminance of a visible light image based on the first original image data; adjusting the visible light exposure parameter based on a first difference, where the first difference is a difference between the luminance of the visible light image and preset target luminance of the visible light image; obtaining a luminance of an infrared image based on the first original image data; adjusting the luminous intensity of the infrared illuminator based on a second difference, where the second difference is a difference between the luminance of the infrared image and preset target luminance of the infrared image.

A display device includes: a display panel including a first display area having a first light transmittance and a second display area having a second light transmittance that is higher than the first light transmittance; a camera module under the second display area that is configured to output a raw image signal; a compensation module configured to: activate in response to a compensation control signal; receive the raw image signal; and compensate the raw image signal through a compensation program utilizing a learning data-based deep learning algorithm to generate a compensation image signal; and a control module configured to control operations of the display panel, the camera module, and the compensation module.