A method for displaying a result of area extraction processing of dividing a target image into a foreground area and a background area includes a result acquisition step of acquiring a result of the area extraction processing on the target image, an extraction result image generation step of acquiring an extraction result image representing an estimated foreground area or an estimated background area estimated by the area extraction processing or a boundary between the estimated foreground area and the estimated background area, based on the acquired result, and a display step of generating a composite image by combining the extraction result image with the target image, and displaying the composite image on a display device. The extraction result image generation step includes a color extraction step and a color determination step.

A method for displaying a result of area extraction processing of dividing a target image into a foreground area and a background area includes a result acquisition step of acquiring a result of the area extraction processing on the target image, an extraction result image generation step of acquiring an extraction result image representing an estimated foreground area or an estimated background area estimated by the area extraction processing or a boundary between the estimated foreground area and the estimated background area, based on the acquired result, and a display step of generating a composite image by combining the extraction result image with the target image, and displaying the composite image on a display device. The extraction result image generation step includes a color extraction step and a color determination step.

An image generator configured to generate a face detecting image used in face detection processing of detecting a face from an image, has a representative luminance calculator that calculates a representative luminance value representing a luminance value of each pixel of a photographed image obtained by photographing; and a gamma converter that generates the face detecting image by performing gamma conversion processing on the photographed image. The luminance value of each pixel of the image is converted using a predetermined gamma value. The gamma converter performs the gamma conversion processing using a first gamma value when the representative luminance value calculated by the representative luminance calculator is greater than or equal to a predetermined threshold.

An image generator configured to generate a face detecting image used in face detection processing of detecting a face from an image, has a representative luminance calculator that calculates a representative luminance value representing a luminance value of each pixel of a photographed image obtained by photographing; and a gamma converter that generates the face detecting image by performing gamma conversion processing on the photographed image. The luminance value of each pixel of the image is converted using a predetermined gamma value. The gamma converter performs the gamma conversion processing using a first gamma value when the representative luminance value calculated by the representative luminance calculator is greater than or equal to a predetermined threshold.

An image processing apparatus includes a normal print order setter, a multiple print order and base material setter, and a preview image generator. The normal print order setter is configured to set types of color materials used in printing document data on a base material, and order of overlaying of the color materials during printing. The multiple print order and base material setter is configured to set at least one of a number of repetitions of printing based on the types of color materials and the order of overlaying of the color materials and a type of base material. The preview image generator is configured to generate a preview image simulating a print result of the document data on a basis of information set by the normal print order setter and the multiple print order and base material setter.

An image processing apparatus includes a normal print order setter, a multiple print order and base material setter, and a preview image generator. The normal print order setter is configured to set types of color materials used in printing document data on a base material, and order of overlaying of the color materials during printing. The multiple print order and base material setter is configured to set at least one of a number of repetitions of printing based on the types of color materials and the order of overlaying of the color materials and a type of base material. The preview image generator is configured to generate a preview image simulating a print result of the document data on a basis of information set by the normal print order setter and the multiple print order and base material setter.

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.

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.

For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.

For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.