An image processing device includes a first substrate, a second substrate, a third substrate provided with a power source circuit, and a casing storing the first substrate, the second substrate, and the third substrate, in which the first substrate has a first surface and a second surface, and is provided between the third substrate and the second substrate in a first direction orthogonal to the first surface, a light receiving element is provided on the second surface, the second substrate has a third surface, a fourth surface, and an opening, the third surface faces the second surface, and the opening is provided to overlap the light receiving element in the first direction, a light emitting element is provided on the fourth surface to surround the opening, and the power source circuit is provided on the third substrate not to overlap the light receiving element in the first direction.

A processing system of a mobile device acquires an image of an object of a target color, wherein the image was captured by an integrated digital camera of the mobile device, calculates a first plurality of values that describes the target color, and wherein the calculating is based on an analysis of a pixel of the image, and identifies a first candidate color from among a plurality of candidate colors, wherein each candidate color in the plurality of candidate colors is associated with a second set of values that describes the each candidate color, and wherein the second set of values describing the first candidate color matches the first set of values more closely than any second set of values associated with another candidate color of the plurality of candidate colors.

A system including a processor and a memory configured to store code executed by the processor is provided. In one or more implementations, the processor is configured by the code to calibrate measurements made by color measurement devices. In one particular implementation, the processor receives a measurement dataset of one or more color values, for a sample obtained by a color measurement device. The processor is configured to convert the measurement dataset to a standard space measurement dataset using a standard space measurement model and calculate a color dataset based on the standard space measurement dataset using a color conversion model. The processor is further configured to output the calculated color dataset to at least one of a display, database or local memory store.

First and second sets of appearance attributes are obtained. The first set is associated with a target material. It comprises measured appearance attributes (54) of the target material. The second set is associated with a candidate material. It comprises candidate appearance attributes that are based on appearance attributes associated with one or more reference materials. A geometric model of at least one virtual object (72) is obtained, the geometric model defining a three-dimensional surface geometry. A scene comprising the at least one virtual object (72) is visualized. First and second portions of the virtual object (72) are visualized using the first and second sets of appearance attributes, respectively. Each of the first and second sets of appearance attributes comprises texture attributes in the form of a plurality of sets of image data. The image data in one of the sets may be based on texture attributes of the other set, or the image data in the second set may be synthesized from image data associated with a plurality of constituent materials of the candidate material.

Embodiments of the invention generally relate to color and appearance metric measurements and, in particular, developing instrumentation to enable self-consistent image appearance measurements within instruments of unitary construction.

In an example there is provided a printing method comprising receiving first and second image data for first and second images to be printed on a substrate, determining first print data for the first image on the basis of the first image data and a white layer to be printed between the first image and second image, to achieve a nominal color profile for the first image; determining second print data for the second image on the basis of the first image data, second image data, the white layer and one or more properties of the substrate to achieve a nominal color profile for the second image; communicating the print data for the first and second images to a printing device to print the first and second images and white layer on the substrate.

An illumination system includes an illumination source configured to emit illumination light and a dispersive optical element configured to generate an angularly dispersed optical signal from the illumination light that is used to generate a spectral image. A digital micro-mirror device (DMD) includes an array of reflective elements that receive the spectral image and direct a portion of the spectral image to an integrating sphere. A controller is configured to calculate a subset of an array of reflective elements of the DMD to activate based on a target illumination output signal using a calibration model of the illumination system. The controller is also configured to activate the subset of the array of reflective elements to change the portion of the spectral image directed to the integrating sphere to generate an illumination output signal that substantially matches the target illumination output signal.

A method for generating a calibration parameter for light sources includes activating at least one LED of a plurality of multicolor LEDs of a light source and measuring a color of the at least one LED in a first color space. The method also includes scaling the color of the at least one LED relative to the plurality of multicolor LEDs, obtaining a plurality of scaled color measurements, and calculating a calibration matrix based on the plurality of scaled color measurements.

In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.

In accordance with one or more implementations of the apparatus, system and methods described, a sample measurement device is provided that is configured to measure the color of a sample. The sample measurement device includes at least one light source configured to illuminate the sample; at least one light sensor configured to output a signal in response to light emitted by light source and reflected off the sample being received by at least a portion of the light sensor; and a processor configured to receive the signal and calculate a color value for the sample, the processor configured to calculate the color value by at least adjusting the signal using a calibration factor.