Systems and methods are provided for generating calibration information for a media projector. The method includes tracking at least position of a tracking apparatus that can be positioned on a surface. The media projector shines a test spot on the surface, and the test spot corresponds to a known pixel coordinate of the media projector. The system includes a computing device in communication with at least two cameras, wherein each of the cameras are able to capture images of one or more light sources attached to an object. The computing device determines the object's position by comparing images of the light sources and generates an output comprising the real-world position of the object. This real-world position is mapped to the known pixel coordinate of the media projector.

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

In an image processing method, an image processing device obtains an input image from an image sensor. Each pixel of the input image is either a type-I pixel or a type-II pixel. Each type-I pixel carries a luminance channel value and no color data, and each type-II pixel carries a single color channel value and no luminance data, wherein the single color channel value is a cyan channel value, a magenta channel value, or a yellow channel value. The image processing device generates a target image by performing interpolation based on the luminance channel values and the single color channel values of the pixels of the input image, wherein each pixel in the target image corresponds in location to a pixel in the input image and has three color channel values generated by the interpolation.

In order to perform image processing in which relative positional deviation of image outputs between two image pickup units is suppressed, an image pickup apparatus comprises: an imaging device that has a first image pickup unit configured to perform imaging in a first cycle and generate a first image signal, and a second image pickup unit configured to perform imaging in a second cycle shorter than the first image pickup unit and generate a plurality of second image signals; a relation degree information generation unit configured to generate relation degree information between the first image signal and the second image signal based on overlap between an exposure time period in the first image pickup unit and an imaging timing in the cycle of the second image pickup unit; a region selection unit configured to select a specific region from among the second image signals based on the relation degree information generated by the relation degree information generation unit; and an image processing unit configured to perform predetermined image processing on the first image signal based on the specific region selected by the region selection unit.

A camera module aligning method includes the following steps. Firstly, a reference chart having plural chart characteristic points is provided. Then, a camera module is used to shoot the reference chart, and an installation position and an installation posture of the camera module are acquired according to an internal parameter matrix and an external parameter matrix. When the camera module shoots the reference chart and an image is formed on an imaging plane of the camera module, a relationship between at least one image characteristic point of the image and the corresponding chart characteristic point complies with a standard relationship. The standard relationship is defined by the internal parameter matrix and the external parameter matrix.

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 camera module includes a lens module having a first optical path; an optical path converting component configured to reflect or refract light incident on a second optical path and a third optical path, intersecting the first optical path, to the lens module; a light-blocking member connected to the optical path converting component and configured to block light incident along the second optical path or the third optical path.

A camera module includes a lens module having a first optical path; an optical path converting component configured to reflect or refract light incident on a second optical path and a third optical path, intersecting the first optical path, to the lens module; a light-blocking member connected to the optical path converting component and configured to block light incident along the second optical path or the third optical path.

A camera module includes a lens module having a first optical path; an optical path converting component configured to reflect or refract light incident on a second optical path and a third optical path, intersecting the first optical path, to the lens module; a light-blocking member connected to the optical path converting component and configured to block light incident along the second optical path or the third optical path.

An image correction method includes: acquiring band images obtained by imaging a subject, and a high-resolution image having a resolution higher than that of the band images; acquiring a position difference between the object band image and the reference band image among the band images; by using a pixel of the object band image as an object pixel, for each object pixel, determining a pixel value of each sub-region obtained by dividing the imaging region of the object pixel into a plurality of regions, based on the pixel value of the object pixel and a relationship between pixel values of the pixels of the high-resolution image corresponding to the object pixel; and creating a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, from the determined pixel value of each sub-region and the position difference.