A camera calibration system includes at least two monochrome cameras and a controller. Each monochrome camera includes a sensor array and a sparse array of filter elements. The sensor array captures one or more images of a local area and includes a plurality of broadband pixels. The sparse array of filter elements is coupled to a portion of the broadband pixels. At least some of the portion of the broadband pixels are along a periphery of the sensor array. Each of the filter elements has a respective passband that is narrower than a passband of the broadband pixels. The controller corrects for lateral chromatic aberration in an image generated from the images captured by the monochrome cameras by using calibration information and portions of the image corresponding to the portion of the broadband pixels that are coupled to the sparse array of filter elements.

An image sensor capable of performing satisfactory distortion aberration correction on an imaging result regardless of a combination of a lens module and an imaging module being used is provided. A main body module of an image sensor acquires size information of an imaging element from a mounted imaging module, acquires distortion aberration characteristic information of an optical system from the mounted lens module, and performs distortion aberration correction using the acquired information.

The subject disclosure is directed towards projecting light in a pattern in which the pattern contains components (e.g., spots) having different intensities. The pattern may be based upon a grid of initial points associated with first intensities and points between the initial points with second intensities, and so on. The pattern may be rotated relative to cameras that capture the pattern, with captured images used active depth sensing based upon stereo matching of dots in stereo images.

Systems and methods for stereo matching based upon active illumination using a patch in a non-actively illuminated image to obtain weights that are used in patch similarity determinations in actively illuminated stereo images is provided. To correlate pixels in actively illuminated stereo images, adaptive support weights computations are used to determine similarity of patches corresponding to the pixels. In order to obtain adaptive support weights for the adaptive support weights computations, weights are obtained by processing a non-actively illuminated (clean) image.

In a case where it is determined by a reliability determination section 501 that retention aberration information of an in-apparatus aberration information retention section 31 is unreliable, a control section 50 sets detection aberration information generated by performing aberration detection processing by a lens aberration detection processing section 32 as application aberration information for correcting an aberration of a captured image. In a case where it is determined that the retention aberration information is reliable, the control section 50 sets the retention aberration information as the application aberration information. Aberration information can be generated if necessary.

To correct aberrations in the image plane of a camera while modifying selected, modifiable camera settings that influence aberrations quickly and simply, a plurality of features with different known feature positions is provided in space. For each selected, modifiable camera setting influencing the aberration, at least two defined setting specifications are provided for modifying respective camera settings. For each setting specification, the camera captures the plurality of features. The camera determines positions of features in the image plane. Via a known mathematical method, a connection between different known feature positions in space and corresponding image positions in the image plane of the camera is determined. For each of the setting specifications of the selected modifiable camera settings, correction parameters of at least one mathematical correction model are determined for correcting the aberration. The at least one correction model is stored in the camera together with the determined correction parameters.

The image-capturing unit includes an imaging section; a holding section configured to hold a subject to be imaged by the imaging section; a light irradiation section configured to select light of one or more light sources out of multiple light sources having different wavelengths, and to irradiate the subject held in the holding section with the light; a storage section configured to store a correspondence among a color of the light emitted for irradiating the subject by the light irradiation section, a material of an irradiation surface irradiated with the light, and a resolution representing the number of pixels per unit length; and an image processing section configured to obtain the resolution from the correspondence, based on the color of the light emitted for irradiating the subject and the material of the irradiation surface of the subject, and to process a subject image by using the resolution.

A compound-eye imaging device is a compound-eye imaging device having a plurality of facet optical systems, an imaging element, and a signal processing unit. The plurality of facet optical systems of the compound-eye imaging device are disposed to face a subject in a two dimensional shape. Also, the imaging element of the compound-eye imaging device includes, in units of facets, a plurality of pixels which receive light concentrated by facet optical systems and generate image signals. Also, the signal processing unit of the compound-eye imaging device generates an image corresponding to the subject based on image signals generated by the imaging element of the compound-eye imaging device.

An image processing apparatus capable of achieving an excellent image quality while obtaining an effect of correction and suppressing side effects caused by correction processing is provided. This image processing apparatus sets a correction value for correcting a deterioration in an image quality due to characteristics of an image optical system, based on lens characteristic information about the image optical system, and performs image processing using the correction value on an image. In an area corresponding to a range where incident light having passed through the image optical system does not reach, a limit to a level for the correction value is set.

Embodiments relate to lateral chromatic aberration (LCA) recovery of raw image data generated by image sensors. A chromatic aberration recovery circuit performs chromatic aberration recovery on the raw image data to correct the resulting LCA in the full color images using pre-calculated offset values of a subset of colors of pixels.