An aspect of automated color adjustment of media files includes receiving profile data corresponding to a subject of image capture. The profile data indicates color values of an element associated with the subject. An aspect also includes storing the profile data in a memory device coupled to a computer processor, capturing an image of the subject, and processing the image and adjusting color aspects based on the color values associated with the element.

A computer includes an image processing apparatus, the image processing apparatus includes a transformation unit that transforms color information on an input image signal on the basis of a transformation rule; a correction range calculation unit that calculates a correction range in a predetermined color space on the basis of a positional relationship between source coordinates and destination coordinates in the color space; and a point-based transfer distance calculation unit that calculates transformation destination coordinates at respective points within the correction range on the basis of the positional relationship between the source coordinates and the destination coordinates, and a positional relationship between coordinates at the respective points within the correction range and the source coordinates to reflect the calculated transformation destination coordinates on the transformation rule.

The invention relates to a process for producing a printed image on a substrate comprising the steps of selecting eight or fewer process colors from a known process ink color set; providing two or more spot colors, forming a color set comprising the process colors and the spot colors; and optionally printing the image using the formed color set. The ratio of the number of spot colors to the number of process colors is at least 0.5:1.

A skin color image gamut weight detecting method and a device thereof are provided. The method includes: receiving an image including first color components and second color components; obtaining a skin color region, a skin color category, and a first gamut; obtaining first color component values and first cardinal numbers according to the first color components; obtaining second color component values and a plurality of second cardinal numbers according to the second color components; obtaining a second gamut and a weight center according to the skin color category, the first cardinal numbers, the second cardinal numbers, the first color component values, and the second color component values; obtaining a first weight area and a second weight area according to the first gamut and the second gamut; and obtaining a skin color gamut weight map according to the weight center, the first weight area, and the second weight area.

An image processing apparatus controls an operation of a printer apparatus that prints an image on a sheet being attachable to skin. The image processing apparatus includes: an image acquirer that acquires a skin image; an image analyzer that extracts, from the skin image, a discolored region differing in color from surrounding skin by at least a predetermined level, and color of the surrounding skin; a print type determiner that determines, based on at least one of color and size of the discolored region, a print type that includes at least one of use/nonuse of a base material containing a white pigment, a particle shape of a print material used in the printing, a scheme of the printing, and use/nonuse of lamé powder; and a printing controller that outputs, to the printer apparatus, image data having a content of printing a print material in the surrounding color, on a region corresponding to the discolored region in the sheet, and controls an operation of the printer apparatus according to the determined print type.

An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.

An image processing apparatus comprises an image acquiring unit configured to acquire an image; a representative-color acquiring unit configured to acquire a representative color, which is a color representing a target region where the correction is performed, from the acquired image; and an image correcting unit configured to perform correction processing on the image on the basis of a set reference color, wherein the image correcting unit updates the reference color with the representative color when similarity between the representative color corresponding to the processing target image and the reference color is equal to or smaller than a predetermined threshold, and does not update the reference color when the similarity is larger than the predetermined threshold.

The invention provides an image color enhancement system, method, storage medium and endoscope. Since the human skin color and the basic tone of endoscopic image are similar, a data set of Macbeth color card is utilized to generate a color correction matrix for skin color enhancement. The color correction matrix is used by an endoscope for real time image capture, resulting in a vivid expression of the basic tone of an endoscopic image without introducing artifacts in other tonal image parts.

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.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.