An example method includes determining, by a controller of an image capture system, a plurality of sets of exposure parameter values for one or more exposure parameters. The plurality of sets of exposure parameter values are determined at an exposure determination rate. The method further includes capturing, by an image capture device of the image capture system, a plurality of images. Each image of the plurality of images is captured according to a set of exposure parameter values of the plurality of sets of exposure parameter values. The method also includes sending, by the controller of the image capture system to an image processing unit, a subset of the plurality of images. Each subset of images is sent at a sampling rate, and the sampling rate is less than the exposure determination rate.

In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: instruct an imaging device to capture an input image, determine image properties of the input image, activate a portion of a plurality of light sources based on a physical location of the plurality of light sources and the determined image properties of the input image, and instruct the imaging device to capture an output image when the portion of the plurality of light sources are activated.

In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: instruct an imaging device to capture an input image, determine image properties of the input image, activate a portion of a plurality of light sources based on a physical location of the plurality of light sources and the determined image properties of the input image, and instruct the imaging device to capture an output image when the portion of the plurality of light sources are activated.

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.

A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.

A system control unit controls an action regarding imaging by an imaging unit according to an instruction from a user. The system control unit automatically controls the action regarding the imaging by the imaging unit based on a preset condition. The system control unit chronologically records details of the control of the action of the imaging unit according to the instruction from the user as operation information. The system control unit chronologically records details of the automatic control of the action of the imaging unit as change information. The system control unit plays back the chronological details of the control of the action of the imaging unit based on the recorded operation information and change information.

An image sensor for detecting time-dependent image data, comprising multiple photovoltaic converters and multiple electronic converters arranged in arrays and linked by switching elements. Each of the photovoltaic converters and one of the electronic converters form a pair that generates digital information dependent on light intensity on the photovoltaic converter. The switching elements are arranged to selectively connect at least two of the photovoltaic converters to one of the electronic converters and at least two of the electronic converters to one of the photovoltaic converters.