An imaging apparatus includes an image sensor, a filter array disposed on an optical path from a target object to the image sensor and including two-dimensionally-arranged optical filters, and a processing circuit that generates at least four pieces of spectral image data based on an image acquired by the image sensor. The optical filters include various types of optical filters with different spectral transmittance. Each of the at least four pieces of spectral image data indicates an image corresponding to one of at least four wavelength bands. The filter array includes at least one characteristic section. The processing circuit detects a relative position between the filter array and the image sensor based on the at least one characteristic section in the image acquired by the image sensor, and compensates for deviation between the relative position and a preliminarily-set relative position when the processing circuit detects the deviation.

An example image capture device includes memory and one or more processors coupled to the memory and a camera sensor. The camera sensor is disposed to receive light through at least a portion of a display. The one or more processors are configured to determine an effective aperture for the camera sensor. The one or more processors are configured to apply a mask to one or more pixels in the at least a portion of the display, wherein the mask is based on the effective aperture. The one or more processors are configured to capture an image using the camera sensor.

A system and method for an imaging circadiometer that measures the spatial distribution of eye-mediated, non-image-forming optical radiation within the visible spectrum.

Embodiments of systems and methods for multi-aperture ranging are disclosed. An embodiment of an image processing system includes at least one processor and memory configured to receive a multi-aperture image set that includes a high-resolution subaperture image and a low-resolution subaperture image, wherein the high-resolution subaperture image and the low-resolution subaperture image were captured simultaneously from a camera using dissimilar focal lengths, predict a high-resolution predicted disparity map from the high-resolution subaperture image using a neural network, predict a low-resolution predicted disparity map from the low-resolution subaperture image using the neural network, and generate an integrated range map from the high-resolution and low-resolution predicted disparity maps, wherein the integrated range map includes an array of range information that corresponds to the multi-aperture image set and that is generated by overlaying common points in both the high-resolution predicted disparity map and the low-resolution predicted disparity map.

A machine learning based imaging system comprises an imaging apparatus for attachment to an imaging sensor of a mobile computing apparatus such as camera of a smartphone. A machine learning (or AI) based analysis system is trained on images captured with the imaging apparatus attached, and once trained may be deployed with or without the imaging apparatus. The imaging apparatus comprise an optical assembly that may magnify the image, an attachment arrangement and a chamber or a wall structure that forms a chamber when placed against an object. The inner surface of the chamber is reflective apart and has a curved profile to create uniform lighting conditions on the one or more objects being imaged and uniform background lighting to reduce the dynamic range of the captured images.

A mid-infrared upconversion imaging method and a mid-infrared upconversion imaging device are provided, which are used for imaging detection in a mid-infrared wavelength band, and related to a technical field of infrared imaging. The method includes directing pump laser and mid-infrared light into a chirped crystal component located in an optical cavity to obtain visible light; and imaging an object with the visible light.

A mid-infrared upconversion imaging method and a mid-infrared upconversion imaging device are provided, which are used for imaging detection in a mid-infrared wavelength band, and related to a technical field of infrared imaging. The method includes directing pump laser and mid-infrared light into a chirped crystal component located in an optical cavity to obtain visible light; and imaging an object with the visible light.

A light source module includes an array of illumination elements and an optional projecting lens. The light source module is configured to receive or generate a control signal for adjusting different ones of the illumination elements to control a light field emitted from the light source module. In some embodiments, the light source module is also configured to adjust the projecting lens responsive to objects in an illuminated scene and a field of view of an imaging device. A controller for a light source module may determine a light field pattern based on various parameters including a field of view of an imaging device, an illumination sensitivity model of the imaging device, depth, ambient illumination and reflectivity of objects, configured illumination priorities including ambient preservation, background illumination and direct/indirect lighting balance, and so forth.

A light source module includes an array of illumination elements and an optional projecting lens. The light source module is configured to receive or generate a control signal for adjusting different ones of the illumination elements to control a light field emitted from the light source module. In some embodiments, the light source module is also configured to adjust the projecting lens responsive to objects in an illuminated scene and a field of view of an imaging device. A controller for a light source module may determine a light field pattern based on various parameters including a field of view of an imaging device, an illumination sensitivity model of the imaging device, depth, ambient illumination and reflectivity of objects, configured illumination priorities including ambient preservation, background illumination and direct/indirect lighting balance, and so forth.

Systems and methods for capturing and rendering light fields for head-mounted displays are disclosed. A mediated-reality visualization system includes a head-mounted display assembly comprising a frame configured to be mounted to a user's head and a display device coupled to the frame. An imaging assembly separate and spaced apart :from the head-mounted display assembly is configured to capture light-field data. A computing device in communication with the imaging assembly and the display device is configured to receive light-field data from the imaging assembly and render one or more virtual cameras. Images from the one or more virtual cameras are presented to a user via the display device.