An image processing apparatus includes an image processing section that performs processing of a job relating to image processing, one or more information processing sections that perform processing on one or more information items as processing targets among information items generated by a device group, a permission acquisition section that acquires a collection permission for each of one or more information items used by the one or more information processing sections, from a manager of the device group or the image processing apparatus, and a collection section that collects the information items used by the one or more information processing sections from devices that generate the information items, under a condition in which acquisition of the collection permission for each of the information items from the manager is completed.

An image processing apparatus includes an image processing section that performs processing of a job relating to image processing, one or more information processing sections that perform processing on one or more information items as processing targets among information items generated by a device group, a permission acquisition section that acquires a collection permission for each of one or more information items used by the one or more information processing sections, from a manager of the device group or the image processing apparatus, and a collection section that collects the information items used by the one or more information processing sections from devices that generate the information items, under a condition in which acquisition of the collection permission for each of the information items from the manager is completed.

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.

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.

An object is to make it possible to add an electronic signature to an edited image under reliable environment.

An imaging device includes a determination processing unit that executes determination processing for determining whether or not image data is an own device captured image captured by an own device on the basis of metadata corresponding to the image data input from outside of the own device and a signature processing unit that acquires re-signature data different from signature data at the time of imaging using the image data and metadata for the image data determined as an own device captured image by the determination processing unit.

A method for processing images may include: acquiring a first mask image based on a portrait image, wherein the first mask image represents a hair area in the portrait image; acquiring a first portrait image including the hair area based on the first mask image and a color lookup table; acquiring a second portrait image including a non-hair area based on the first mask image; and acquiring a target image by interpolating and blending the first portrait image with the second portrait image.

In a case where a user manually selects an image to be converted into a monochrome image with distinguishability, the user is to take labor and may select an image unsuitable for conversion into a monochrome image with distinguishability. An attribute in a page of print data is analyzed for each page, and based on the attribute of the page, a distinguishability improvement method that performs conversion into gray data by using density difference or outline emphasis is switched.

In a case where a user manually selects an image to be converted into a monochrome image with distinguishability, the user is to take labor and may select an image unsuitable for conversion into a monochrome image with distinguishability. An attribute in a page of print data is analyzed for each page, and based on the attribute of the page, a distinguishability improvement method that performs conversion into gray data by using density difference or outline emphasis is switched.