A method for processing an image is provided in which an omnidirectional image is received. The omnidirectional image is displayed on a display. Two panoramic images are generated based on the omnidirectional image by correcting distortion of the omnidirectional image. The two panoramic images are displayed on the display in response to a user input. Both of the two panoramic images are scrolled in response to a user input conducted on one of the two panoramic images displayed on the display.

Image data obtained by imaging of an imaging element capable of imaging a subject with sensitivity to a wavelength band of visible light and a wavelength band of near-infrared light via an optical system is acquired. A point image restoration process using a common restoration filter is performed on the image data of the subject captured with sensitivity to the wavelength band of the visible light by the imaging element and the image data of the subject captured with sensitivity to the wavelength band of the near-infrared light by the imaging element. The common restoration filter is calculated on the basis of average optical characteristics of the optical system obtained by performing weighted averaging of first optical characteristics with respect to the visible light of the optical system and second optical characteristics with respect to the near-infrared light of the optical system.

A vehicle system and method for remotely controlling a host vehicle. The vehicle system is provided with at least one sensor for generating high-resolution data indicative of an environment external to a host vehicle, and a processor in communication with the at least one sensor. The processor is programmed to generate low-resolution data based on the high-resolution data, and to control at least one vehicle actuator based on a driver command. At least one transceiver provides the low-resolution data to, and receives the driver command from, a remote driving system.

An electronic device includes an image sensor that generates first image data upon receiving external light, generates second image data based on the first image data, and outputs the first image data and the second image data, and an application processor that increases resolution of at least a region of an image that corresponds to the first image data using a machine learning algorithm and outputs third image data that includes at least a portion of the first image data with increased resolution and at least a portion of the second image data.

Embodiments of the present application disclose light field collection control methods and apparatuses and light field collection devices, wherein one light field collection control method comprises: acquiring an aperture parameter of a main lens of a light field camera;

determining, according to the main lens aperture parameter, in an image sensor of the light field camera, a local part of an imaging region corresponding to at least one sub-lens in a sub-lens array of the light field camera as a first imaging region; adjusting pixel density distribution of the image sensor, to cause pixel density of the first imaging region after adjustment to be distinguished from that of other parts of the imaging region; and performing light field collection on a scene via the adjusted light field camera. The embodiments of the present application may improve utilization of image sensor pixels in a process of performing light field collection on a scene based on a light field camera, and improve imaging quality of light field images.

An imaging apparatus includes: an imaging sensor; a lens mount to which a lens is attached; and a processor is configured to read out an imaging signal from the imaging sensor and generate a raw image. The processor is configured to determine a length of a second focal length in a second direction which intersects with an extending direction of an optical axis of the lens and a first direction which intersects with the extending direction, relative to a first focal length in the first direction, and make a resolution ratio, which is a ratio of a resolution of the raw image in the first direction to a resolution of the raw image in the second direction, higher than a resolution ratio of the imaging sensor in a case where the second focal length is longer than the first focal length.

An image capturing system having an image capturing device; a display device that displays a screen for image data that has been acquired by the image capturing device; a region setting unit configured to set a high-resolution region in one portion of the screen; an angle detection unit configured to detect an angle of inclination of the display surface of the display device; and a control unit configured to change a position of the high-resolution region that is set by the region setting unit according to the angle of inclination of the display surface that has been obtained by the angle detection unit.

A method for remotely supporting a surgery assistant robot may include: receiving at least one piece of operation information concerning an operation of the surgery assistant robot, by a server device that performs a remote support for the surgery assistant robot; and transmitting, in response to a predetermined event, at least one of a sound, an image, or a text from the server device to at least one of the surgery assistant robot or a terminal device.

A method and a device for enhancing an edge of an image are provided. The method includes: obtaining a first gradient value of a pixel; determining whether the pixel is at a rough edge according to the first gradient value; if yes, obtaining a first edge enhancement value of the pixel and obtaining a first edge enhancement result of the pixel according to the first edge enhancement value; if no, obtaining a second gradient value of the pixel; determining whether the pixel is at a tiny edge according to the second gradient value; if yes, obtaining a second edge enhancement value of the pixel and obtaining a second edge enhancement result of the pixel according to the second edge enhancement value; if no, obtaining the pixel value of the pixel as the edge enhancement result of the pixel; and repeating above steps until each pixel of the image is processed.

Methods and systems are presented for generating a rendering of a virtual scene of a plurality of virtual scene elements. Rendering can take into account a camera position of a camera in a stage environment that is to be used to capture a captured scene, a display position of a virtual scene display in the stage environment, a set of depth slices, wherein a depth slice of the set of depth slices represents a subregion of the virtual scene space, and a blur factor for the depth slice based at least in part on the camera position, the display position, and a depth value or depth range for the subregion of the virtual scene space represented by the depth slice. Using depth slices can reduce computational efforts.