A device comprises memory, a display characterized by a display characteristic, and processors coupled to the memory. The processors execute instructions causing the processors to receive data indicative of the display characteristic, data indicative of ambient lighting, and data indicative of content characteristics for a content item; determine a tone mapping curve for the content item based on the data indicative of content characteristics; determine a first, so-called “anchor” point along the tone mapping curve; modify a first portion of the tone mapping curve below the anchor point based on the data indicative of ambient lighting; modify a second portion of the tone mapping curve above the anchor point based on the data indicative of the display characteristic; perform tone mapping for the content item based on the modified toned mapping curve to obtain a tone mapped content item; and cause the display to display the tone mapped content item.

A method for building a security image for a security structure of a security document from multiplexing color images, including selecting a marking method capable of producing sets of colors on the security document comprising different colors that can be displayed according to illumination/observation modes of the security structure, establishing a plurality of color sets that can be displayed by the security structure in a plurality of the different illumination/observation modes, distributing the color sets in a plurality of groups of color sets, establishing combinations of groups of color sets having at least one color set in common across the number of different illumination/observation modes, selecting a combination of a group of color sets based on the number of desired illumination/observation modes and the number of colors per color image, and determining the color images to multiplex by means of the combination of the group of color sets selected.

A system and method for image testing is configured to apply at least one display property to a test image to generate a display modified test image and applying the at least one display property to a reference image to generate a display modified reference image. The system also applies a human eye model to the display modified test image to generate an eye modified test image and applies the human eye model to the display modified reference image to generate an eye modified reference image. The system may compare the eye modified test image with the eye modified reference image to determine human perceivable differences between the test image and the reference image.

Luminance data indicating luminance of the print product illuminated by the lighting is calculated and processing for causing a high luminance region to have gradation characteristics is performed.

An image processing apparatus that generates image data to generate a image by superimposing a first output image that is output from a first image output apparatus and a second output image that is output from a second image output apparatus, includes a first obtaining unit configured to obtain input image data, a second obtaining unit configured to obtain first output image data to be output to the first image output apparatus, and a generation unit configured to generate second output image data to be output to the second image output apparatus based on the input image data and the first output image data, in which a sharpness of an image represented by the second output image data is in accordance with a sharpness of an image represented by the first output image data.

A system and method for image testing is configured to apply at least one display property to a test image to generate a display modified test image and applying the at least one display property to a reference image to generate a display modified reference image. The system also applies a human eye model to the display modified test image to generate an eye modified test image and applies the human eye model to the display modified reference image to generate an eye modified reference image. The system may compare the eye modified test image with the eye modified reference image to determine human perceivable differences between the test image and the reference image.

An image processing apparatus converts, according to light on an image printed based on input image data, the input image data into image data for illumination output superimposed on the image, includes a deriving unit deriving an observing condition, an estimating unit estimating luminance characteristics based on the observing condition and reflectance characteristics corresponding to print image data, an introducing unit introducing target luminance characteristics based on the print luminance characteristics, a setting unit setting illumination converting characteristics converting the input image data into the image data for illumination output based on the print luminance characteristics and the target luminance characteristics, and a converting unit converting gradation of the input image data using the illuminance characteristics, and the introducing unit introducing the target luminance characteristics such that, when reproducing ranges in the print luminance characteristics are different, a linear region of output luminance of relatively large reproducing range becomes larger.

A method and system for rendering a gloss effect image on a recording medium, can involve creating with a processor, a mirror of a gloss effect image of a gloss mark located on a front side of a recording medium, and rendering with a color printer having marking materials, the mirror of the gloss effect image on a back side of the recording medium directly opposite the gloss mark located on the front side of the recording medium. The processor can include a digital front processor that communicates with the color printer. The gloss effect image of the gloss mark can be, for example, a micro gloss feature or a macro gloss feature.

Systems and methods of dynamically modifying visual content to account for user visual impairments are provided. The systems and methods provide for a plurality of generative adversarial networks, each associated with a corresponding style transfer, wherein the style transfer uniquely transforms the color mapping of a content template based on responses to at least one visual impairment test.

A system and method for image testing is configured to apply at least one display property to a test image to generate a display modified test image and applying the at least one display property to a reference image to generate a display modified reference image. The system also applies a human eye model to the display modified test image to generate an eye modified test image and applies the human eye model to the display modified reference image to generate an eye modified reference image. The system may compare the eye modified test image with the eye modified reference image to determine human perceivable differences between the test image and the reference image.