Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.

Pixels of a mask image with which a target object is irradiated are shifted by a determined distance by sequentially turning on one light emission point or two or more light emission points of a light source with respect to a single mask pattern generated in a spatial modulation element, a pixel shift amount of the mask pattern determined by a position of the light emission point to be turned on of the light source is known, the target object is irradiated with mask images according to a plurality of mask patterns depending on the positions of the light emission point of the light source and the spatial modulation element, and a computer calculates a correlation between a light intensity detected by a detector and the mask image with which the target object is irradiated, to construct an image of the target object. With this, an imaging device and an imaging method capable of achieving an increase in speed of mask pattern irradiation in single-pixel imaging and significantly increasing an input speed of single-pixel imaging are provided.

Pixels of a mask image with which a target object is irradiated are shifted by a determined distance by sequentially turning on one light emission point or two or more light emission points of a light source with respect to a single mask pattern generated in a spatial modulation element, a pixel shift amount of the mask pattern determined by a position of the light emission point to be turned on of the light source is known, the target object is irradiated with mask images according to a plurality of mask patterns depending on the positions of the light emission point of the light source and the spatial modulation element, and a computer calculates a correlation between a light intensity detected by a detector and the mask image with which the target object is irradiated, to construct an image of the target object. With this, an imaging device and an imaging method capable of achieving an increase in speed of mask pattern irradiation in single-pixel imaging and significantly increasing an input speed of single-pixel imaging are provided.

A device including a display including a main portion, a first region and a second region being in different positions within a boundary of the main portion, the first region having a first structure of light-blocking, and the second region having a second structure of light-blocking elements, a first light sensor positioned under the first region, the first light sensor being configured to capture a first image having at least one first characteristic, wherein the first characteristic depends on the first structure, a second light sensor positioned under the second region, the second light sensor being configured to capture a second image having at least one second characteristic, wherein the second characteristic depends on the second structure, and a memory including code that when executed by a processor causes the processor to generate a third image based on the first image and the second image.

A device including a display including a main portion, a first region and a second region being in different positions within a boundary of the main portion, the first region having a first structure of light-blocking, and the second region having a second structure of light-blocking elements, a first light sensor positioned under the first region, the first light sensor being configured to capture a first image having at least one first characteristic, wherein the first characteristic depends on the first structure, a second light sensor positioned under the second region, the second light sensor being configured to capture a second image having at least one second characteristic, wherein the second characteristic depends on the second structure, and a memory including code that when executed by a processor causes the processor to generate a third image based on the first image and the second image.

According to one embodiment, an optical imaging apparatus includes a polarizer assembly, a polarization image sensor, and a lens assembly. The polarizer assembly is configured to acquire a first light ray of a first polarization component and a second light ray of a second polarization component which is different from the first polarization component, by using a light flux from an identical direction. The polarization image sensor is located in a position facing the polarizer assembly. The polarization image sensor is configured to acquire an image of the first polarization component and an image of the second polarization component at once or at the same time. The lens assembly includes a first lens configured to form the images on the polarization image sensor.

To facilitate control of an AR HMD, a camera unit in a camera sensor system generates RGB/IR images and the system also extrapolates images for times in the future based on light intensity change signals from an event detection sensor (EDS) for HMD pose tracking, hand tracking, and eye tracking. The times in the future are provided by an HMD application which defines the future times, and the RGB/IR images and extrapolated images are sent back to the application. In this way, the camera sensor system enables improved performance tracking (equivalent to using very high-speed camera) at lower bandwidth and power consumption.

A video user interface for an electronic device may help in determining depth information relating to a scene. comprises a display, a spatial filter defining a coded aperture, an image sensor and a lens. The scene is disposed in front of the display. The image sensor and the lens are both disposed behind the display. The spatial filter is defined by, or disposed behind, the display. The spatial filter, the image sensor, and the lens are arranged to allow the image sensor to capture an image of the scene through the coded aperture and the lens. The video user interface may be used to determine depth information relating to the scene. The video user interface may use the determined depth information to recognize one or more features in the scene, such as one or more features of a user of the electronic device in the scene, for example one or more facial features of a user of the electronic device in the scene. The video user interface may unlock the electronic device in response to recognizing one or more features in the scene.

A video user interface for an electronic device may help in determining depth information relating to a scene. comprises a display, a spatial filter defining a coded aperture, an image sensor and a lens. The scene is disposed in front of the display. The image sensor and the lens are both disposed behind the display. The spatial filter is defined by, or disposed behind, the display. The spatial filter, the image sensor, and the lens are arranged to allow the image sensor to capture an image of the scene through the coded aperture and the lens. The video user interface may be used to determine depth information relating to the scene. The video user interface may use the determined depth information to recognize one or more features in the scene, such as one or more features of a user of the electronic device in the scene, for example one or more facial features of a user of the electronic device in the scene. The video user interface may unlock the electronic device in response to recognizing one or more features in the scene.

An imaging system and a method of creating composite images are provided. The imaging system includes one or more lens assemblies coupled to a sensor. When reflected light from an object enters the imaging system, incident light on the metalens filter systems creates filtered light, which is turned into composite images by the corresponding sensors. Each metalens filter system focuses the light into a specific wavelength, creating the metalens images. The metalens images are sent to the processor, wherein the processor combines the metalens images into one or more composite images. The metalens images are combined into a composite image, and the composite image has reduced chromatic aberrations.