An apparatus includes an acquisition unit configured to acquire a first control value related to white balance based on an input image, a determination unit configured to determine whether a first area including the acquired first control value is changeable, a control unit configured to change the first area to a second area based on a result of determination by the determination unit, and a calculation unit configured to calculate a second control value related to the white balance to be applied to the input image in the second area in a case where the first area is changed to the second area, wherein the control unit changes the first area to the second area by stages.

A recorded and fixed color image, including: a plurality of pixels; in which a pixel, of the plurality of pixels, contains two or more additive process color areas; in which each additive process color area, of the two or more additive process color areas, has a centroid located within an area of the pixel; in which locations of the centroids, within the area of the pixel, are present in two or more configurations in the plurality of pixels is disclosed. A method of forming a color image is also disclosed.

An image capturing unit captures an image including an embedded image that is printed on the basis of image data in which at least a color component has been modulated according to additional information. An adjustment unit adjusts a white balance of the image captured by the image capturing unit on the basis of an adjustment value associated with the embedded image. A processing unit processes image data of the image captured by the image capturing unit whose white balance has been adjusted by the adjustment unit to read the additional information in the image captured by the image capturing unit.

The present disclosure relates to an image processing method for correcting colors in an input image representing a scene, the image processing method including: processing the input image with a machine learning model, wherein the machine learning model is previously trained to detect a predefined number N>1 of sources of light illuminating the scene and to generate N estimated illuminant images associated respectively to the N sources of light, wherein each estimated illuminant image includes an estimated color of the light emitted by the respective source of light and an estimated contribution image; generating a total illuminant image by using the N estimated illuminant images; and generating an output image by correcting the colors in the input image based on the total illuminant image.

The application relates to a method, an electronic device and a program for recommending a foundation product from.

A shaping device is provided and includes a head portion that ejects a material of a shaped object, and a controller that controls the operation of the head portion based on ejecting position specifying data indicating a position to eject the material of each color, the ejecting position specifying data being data in which a color is expressed in a predetermined material color space. The controller generates the ejecting position specifying data based on input data in which colors are expressed in a predetermined input color space, and in the process of generating the ejecting position specifying data, performs a color conversion process of converting a color using at least a profile that associates the color in the input color space with the color in the material color space, and a color adjustment parameter which is a parameter used for adjustment performed for color conversion performed using the profile.

A white balance compensation method and apparatus, and an electronic device are disclosed. The method includes: obtaining color information of each of M first regions included in a first image acquired by a spectral sensor; performing white balance compensation using a target numerical value for a second image acquired by a color sensor, and obtaining color information of each of M second regions included in the white-balance compensated second image, one second region corresponding to one first region; and for an i-th second region, in a case that first and second color information meet a preset condition, performing white balance compensation for the i-th second region according to the first and second color information, the first color information is color information of the i-th second region, and the second color information is color information of a first region corresponding to the i-th second region.

An image display apparatus includes: a light source unit including three or more light sources, combining lights from the light sources and emitting the combined light; a wavelength detector that detects, for each light source, wavelength information indicating the wavelength of light from the light source; a color value determiner that determines, for each light source, from the wavelength information, a color value indicating a color of light from the light source in a predetermined color space; a correction value determiner that determines, based on the color values, a correction value for correcting a ratio between the intensities of lights from the light sources so that the color of the combined light is a color to be displayed; and a driver that drives the light sources so that the ratio between the intensities of lights from the light sources is a ratio corrected based on the correction value.

A color image of a target is captured by a color sensor in an imaging reader. A color image processing pipeline processes the captured color image with a plurality of color image processing components to display the image of a target with high fidelity. One or more of the components are bypassed to decode the image of a symbol target to prevent degradation of reader performance.

An image reading apparatus includes a front-side reader, which includes a white LED configured to irradiate an original with light and a CMOS sensor configured to receive light that is reflected by the original. The front-side reader is configured to generate read data that represents a luminance value of an image on the original from the result of receiving light with the CMOS sensor. The image reading apparatus stores, in a non-volatile memory, a condition for determining whether there is a sub-scanning color shift, and uses a sub-scanning color shift detector to determine whether there is a sub-scanning color shift based on the read data obtained from the front-side reader and the condition stored in the non-volatile memory. When there is a sub-scanning color shift, the image reading apparatus corrects the sub-scanning color shift by correcting the read data with a color shift corrector.