An image projection system includes an image projecting section configured to project an image onto a projection surface, a control section configured to cause the image projecting section to project a pattern image, an imaging section configured to capture the pattern image projected on the projection surface, a detecting section configured to detect a plurality of reference points on the basis of the pattern image captured by the imaging section, and an image-information correcting section configured to correct, on the basis of positions of the reference points detected by the detecting section, the image projected by the projecting section. The pattern image includes a plurality of unit patterns for specifying the reference points. The plurality of unit patterns include unit patterns of seven colors.

A color detection system, comprising: a card having printed thereon a color chart comprising multiple colored areas, and at least one grayscale area; a camera configured to acquire an image comprising a pixel representation a sample positioned adjacent to the card; a storage device configured to store reference data corresponding to the color chart and the at least one grayscale area; and a processor configured to: perform a grayscale correction to the pixel representation of the color chart and sample using a grayscale correction transformation between the pixel representation the grayscale area and the corresponding reference data, estimate colorimetric coordinates for the sample by applying to the respective grayscale corrected pixel representation, a transformation between the grayscale corrected pixel representation of the color chart and the corresponding colorimetric reference data, and convert the estimated colorimetric coordinates for the sample to RGB.

Techniques for virtualizing content are disclosed. One or more objects comprising source video content are determined. The one or more objects comprising the source video content are virtualized by mapping each to and representing each with a corresponding database object. Data comprising the corresponding database objects is provided for rendering the source video content instead of any original pixel information of the source video content so that a virtualized version of the source video content is rendered.

Systems, apparatuses, and methods are presented for taking a combination of images taken synchronous in time with one another. According to one example, the present disclosure proposes one or more sensor arrays, each of which comprises multiple pixel sensors arranged to capture image data responsive to light exposure. Light is incident on the respective sensor arrays during substantially synchronous exposures. The one or more sensor arrays are configured such that the image data captured by the respective sensor arrays during the synchronous exposure differ in at least one of a luminance output or a color profile from one another.

A projection system for generating an image with three primary colors, including a first and second blue laser beam, a wavelength conversion element for converting the second blue beam into a converted beam having a waveband including at least the second and third wavebands, a beam combiner for combining the first beam and the converted beam, which combination results in a white beam, a notch filter placed in the optical path of the white beam to form a modified white beam including at least the first, second and third wavebands provided to an imaging module, where a static waveband reduction filter is further provided for changing the wavelength of transmitted second waveband of the white beam, such as to adjust a projector white point shift.

An electronic device comprising: a memory; and at least one processor operatively coupled to the memory, the processor being configured to: acquire a first and a second image, identify a first feature in the first image, and a second feature in the second image, generate a first relation information item based on the first feature and the second feature, and generate image data comprising at least a part of the first image or at least a part of the second image, based on the first relation information item.

Systems and methods for measuring skin tone. A camera and computer may measure skin tone health of a face dataset and color quality of a single face image. The computer and camera may measure skin tone across wide sample of volunteers, express skin tone in CIELCH coordinates; and identify the range of observed lightness, chromaticity, and hue values in the population to determine a sample set. The computer and camera may be configured to match the image to a coordinate system of lightness, chromaticity, and hue in the sample set. If a match is not possible, the computer may be configured to select a coordinate closest to the measured lightness, chromaticity, and hue.

Systems and methods for measuring skin tone. A camera and computer may measure skin tone health of a face dataset and color quality of a single face image. The computer and camera may measure skin tone across wide sample of volunteers, express skin tone in CIELCH coordinates; and identify the range of observed lightness, chromaticity, and hue values in the population to determine a sample set. The computer and camera may be configured to match the image to a coordinate system of lightness, chromaticity, and hue in the sample set. If a match is not possible, the computer may be configured to select a coordinate closest to the measured lightness, chromaticity, and hue.

A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

A user interface adaptation module identifies a dominant color of a portion selection of a frame of a video and, based on the dominant color, generates colors for components of a user interface in which the video is displayed. The colors of the user interface components are set based upon the generated colors and upon context information such as a playing state of the video. The setting of the component colors in this way allows the user interface to adjust to complement both the played content of the video and the video's context. In one embodiment, the dominant color is identified by partitioning individual pixels of the portion selection based on their respective colors. In one embodiment, a set of primary color variants is generated based on the dominant color, and different colors are generated for each type of user interface component based on the different primary color variants.