An imaging device includes a light separator that separates light into light bands, and imaging elements that each receives one of the light bands and generates a corresponding signal. Each of the imaging elements has a pixel size of at most 2.5 μm by 2.5 μm. A registration error among the imaging elements is equal to or less than a threshold determined according to the pixel size.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a number of first filter types. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the filter type in common.

An image acquisition apparatus includes a first image sensor configured to obtain a first image based on detection of a light of a first wavelength band; a second image sensor configured to obtain a second image based on detection of a light of a second wavelength band that is wider than the first wavelength band; and a processor configured to obtain a third image having a spatial resolution corresponding to the first image and a color gamut corresponding to the second image based on the first image and the second image. The image acquisition apparatus may provide an image with a high spatial resolution and a wide color gamut.

An optical device includes an underlying device configured output light to an optical output to output an image of objects in an environment to a user. The light is output in a first spectrum. A stacked device is configured to be coupled in an overlapping fashion to an optical output of the underlying device. The stacked device is transparent, according to a first transmission efficiency, to light in the first spectrum. The stacked device includes a plurality of electro-optical circuits including: a plurality of light emitters configured to output light, and a plurality of detectors configured to detect light in the first spectrum from the underlying device that can be used to detect the objects in the image. The light emitters are configured to output light dependent on light detected by the detectors and additional information about characteristics of the objects in the environment.

An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

Generally described, one or more aspects of the present application correspond to systems and techniques for spectral imaging using a multi-aperture system with curved multi-bandpass filters positioned over each aperture. The present disclosure further relates to techniques for implementing spectral unmixing and image registration to generate a spectral datacube using image information received from such imaging systems. Aspects of the present disclosure relate to using such a datacube to analyze the imaged object, for example to analyze tissue in a clinical setting, perform biometric recognition, or perform materials analysis.

A technique for imaging a retina with a retinal camera includes illuminating the retina with a plurality of distinct illumination bands that are substantially exclusive of green visible light while substantially not illuminating the retina with the green visible light. A first retinal image is acquired while illuminating the retina with the distinct illumination bands and substantially not illuminating the retina with the green visible light.

A technique for imaging a retina with a retinal camera includes illuminating the retina with a plurality of distinct illumination bands that are substantially exclusive of green visible light while substantially not illuminating the retina with the green visible light. A first retinal image is acquired while illuminating the retina with the distinct illumination bands and substantially not illuminating the retina with the green visible light.

Generally described, one or more aspects of the present application correspond to systems and techniques for spectral imaging using a multi-aperture system with curved multi-bandpass filters positioned over each aperture. The present disclosure further relates to techniques for implementing spectral unmixing and image registration to generate a spectral datacube using image information received from such imaging systems. Aspects of the present disclosure relate to using such a datacube to analyze the imaged object, for example to analyze tissue in a clinical setting, perform biometric recognition, or perform materials analysis.

In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera, and a processor may be configured to perform the techniques. The monochrome camera may be configured to capture monochrome image data of a scene. The color camera may be configured to capture color image data of the scene. A processor may be configured to match features of the color image data to features of the monochrome image data, and compute a finite number of shift values based on the matched features of the color image data and the monochrome image data. The processor may further be configured to shift the color image data based on the finite number of shift values to generate enhanced color image data.