This disclosure is directed to color matching with shade detection. A method of color matching can include: receiving a camera image of a target, the camera image being collected in the presence of flash illumination; receiving a color sensor spectral measurement of the target, the color sensor spectral measurement being collected in the presence of flash illumination; determining specular and diffuse fractions of a flash intensity profile of the camera image of the target; determining parallax based upon a detected location of a flash centroid within the camera image of the target; converting the parallax to a range measurement for the target; calculating an expected white level for the target based upon the specular and diffuse fractions and the range measurement for the target; and calculating a shade of a detected color based upon the color sensor spectral measurement and the expected white level for the target.

An apparatus includes a lighting unit configured to irradiate a light emitting device package including a light transmitting resin containing a light conversion material with light having a certain color; a camera configured to capture an image of the light emitting device package; and a controller configured to determine color coordinates of the light emitting device package using the image, captured by the camera, to determine whether the light emitting device package is defective.

A method for harmonizing colors of an original image is disclosed. The method comprises: computing a saliency map of the original image, for each of a plurality of color harmonic schemes: determining a temporary harmonized image from the original image according to the current color harmonic scheme, computing a saliency map of the temporary harmonized image, comparing the saliency map of the original image and the saliency map of the temporary harmonized image, in order to obtain a saliency comparison result, computing a corrected color comparison result from colors of the original image, colors of the current color harmonic scheme and the saliency comparison result, selecting, as the harmonized image, the temporary harmonized image obtained with the color harmonic scheme minimizing the corrected color comparison result.

A calculation device comprises a color evaluation unit that acquires a sensor color and four or more reference colors from photography data from a measurement time when an indication object was photographed in a second photography environment; determines coefficients for color conversion between a first and the second photography environments based on the amount of change from color information for the reference colors in the first photography environment, which has been read from a calculation device storage unit, to color information for the reference colors in the second photography environment, which has been acquired from the photography data; and uses the sensor color acquired from the photography data from the measurement time and the color conversion coefficients to correct the sensor color to the color that would have been photographed in the first photography environment by solving a conversion formula including terms representing an affine transformation consisting of translation.

A calibration device includes one or more processors. The one or more processors acquire a measured value obtained when a spectroscopic light source configured to output uniform light with a predetermined spectroscopic wavelength and configured to change the spectroscopic wavelength outputs the uniform light while changing the spectroscopic wavelength of the uniform light and a spectroscopic measurement unit to be calibrated spectroscopically measures the outputted uniform light. The one or more processors acquire a target value for each of the spectroscopic wavelengths obtained when the spectroscopic measurement unit measures the uniform light. The one or more processors calculate a transformation matrix for transforming the measured value, based on the measured value and the target value.

Certain examples described herein relate to color spaces. In some cases, first and second sets of output color values representable in an output color space are obtained. The first and second sets of output color values correspond to first and second operating states of a printing system respectively. Each output color value in the first and second sets has corresponding coordinates in a colorimetry space. The first and second sets of output color values define respective first and second gamuts in the colorimetry space. First and second colorimetry values in an intersection of the first and second gamuts in the colorimetry space are selected, the selecting based on the respective colorimetry of the first and second colorimetry values and a predetermined transition region in an input color space. For an input color value located in the predetermined transition region of the input color space, a corresponding target colorimetry value located between the first and second colorimetry values in the colorimetry space is obtained. First and second output color values are derived based on the target colorimetry value and the first and second sets of output color values, respectively. First and second mappings between the input color space and the output color space are generated by respectively assigning the first and second output color values to the input color value.

A method and device for measuring dominant wavelength and color purity of LED lamp, and an electronic equipment. The method includes: establishing standard data; calculating difference and distance between chromaticity coordinate in the standard data and the chromaticity coordinate of equal-energy white light; calculating an included angle between a vector formed by the chromaticity coordinate of equal-energy white light to each standard chromaticity coordinate and a positive direction of x axis; performing a one-way processing on the included angle to form included angle data; calculating an included angle intermediate value; determining minimum and maximum values of the included angle intermediate value; calculating a dominant wavelength coefficient and a measured included angle intermediate value; calculating a wavelength interval corresponding to the included angle intermediate value; calculating a dominant wavelength intermediate value and x difference by interpolation calculation; and obtaining dominant wavelength and color purity of the LED lamp.

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.

The present disclosure relates generally to signal encoding for printed objects such as product packaging, labels and hangtags. One implementation obtains a color image representing CMY color channels, and alters the color image to include an encoded signal by altering values representing CIELAB a* and b*, all the while keeping L* on or within a predetermined tolerance of a contour representing a constant value. Other implementations are provided.

A system generates a prediction model for makeup color matching. The system includes a data storage device and a modeling engine. The data storage device stores a plurality of color sets comprising a skin color set, a makeup color set, and a target color set. The modeling engine is coupled to the data storage device and configured to generate a prediction model and an output color set. The prediction model models generation of the target color set based on inputs from the skin color set and the makeup color set. The output color set approximates the target color set with a predictable accuracy.