A method, computer system, and a computer program product for shine visualization is provided. The present invention may include recognizing an object in a digital image loaded on a user device. The present invention may include assigning a shine index to the recognized object. The present invention may include determining, based on a plurality of pixel values corresponding to the recognized object, a direction of light relative to the recognized object. The present invention may include tracking a position of a user's eyes viewing the digital image on the user device. The present invention may include in response to detecting a movement in the position of the user's eyes, applying, in real-time, at least one filter to the recognized object to simulate a shining effect of the recognized object in the digital image.

A system for the high-fidelity display of artwork images simulates lighting conditions (such as by, for example, varying the colour temperature, intensity, and/or lighting direction) and, for each lighting condition, compares an image of an artwork against an image of a digital display thereof. The system calculates an image adjustment (such as, for example, brightness/contrast, levels, tonal curves, exposure, vibrance, hue/saturation and/or colour balance) to minimise perceived visual differences between the original artwork and the image of a digital display thereof under the same environmental lighting conditions. As such, when displayed at a display location, the artwork image may be adjusted using the calculated image adjustment according to the actual lighting conditions at the display location.

In an example there is provided a printing method comprising receiving first and second image data for first and second images to be printed on a substrate, determining first print data for the first image on the basis of the first image data and a white layer to be printed between the first image and second image, to achieve a nominal color profile for the first image; determining second print data for the second image on the basis of the first image data, second image data, the white layer and one or more properties of the substrate to achieve a nominal color profile for the second image; communicating the print data for the first and second images to a printing device to print the first and second images and white layer on the substrate.

An image processing apparatus includes: an acquisition unit configured to acquire a plurality of first color values in a device independent color space, from information defining a predetermined gamut; a setting unit configured to set predetermined first dot percentages of a fluorescent color for the plurality of first color values acquired by the acquisition unit; a calculation unit configured to calculate a second dot percentage of the fluorescent color, based on a relationship between the plurality of first color values and the first dot percentages, the second dot percentage corresponding to an arbitrary second color value in the color space; and a generation unit configured to generate a first profile to convert the second color value to dot percentages of a process color and the fluorescent color, based on the second color value and the second dot percentage calculated by the calculation unit.

A redundantly printed security-enhanced document, printing method, and system for better ensuring that the meaning of the information imparted by variable indicia printed by redundant printing indicia on a document protected by a removable Scratch-Off Coating (SOC). By printing the variable indicia with multiple colors, redundancy and integrity of the intended indicia is achieved relative to the perception of human eye photoreceptor cones. The redundantly printed document, methods, and systems enhance the overall appearance of the redundantly printed document, and reduce possible consequences resulting from misprinted variable indicia.

Various implementations disclosed herein include methods, electronic devices, and systems for performing perceptual-based color correction based on chromaticity values. To that end, in some implementations, a method is performed at an electronic device with one or more processors, a non-transitory memory, and a see-through display. The method includes determining a chromaticity value associated with ambient light from a physical environment. The chromaticity value quantifies the ambient light. The method includes determining a set of color correction values based on a function of the chromaticity value and image data. The set of color correction values and the chromaticity value together satisfy one or more perceptual criteria. The method includes modifying the image data in order to generate display data based on a function of the set of color correction values. The method includes displaying the display data on the see-through display.

Disclosed is an image processing apparatus including: a derivation unit configured to derive a target luminance characteristic based on a viewing condition of an image and a print luminance characteristic predicted based a reflection characteristic corresponding to data thereon; a unit configured to generate print image data on an image by converting input image data by using a tone conversion characteristic that is set based on these characteristics, in which the derivation unit derives, in a case where a reproduction range of an illumination intensity in the print luminance characteristic is different, the target luminance characteristic so that a liner area of an output luminance in a case where the reproduction range is relatively large becomes large.

An image processing apparatus for displaying on a display device an image corresponding to a printed product observed in a predetermined observation environment. The apparatus includes one or more memories storing instructions, and one or more processors executing the instructions to obtain image data, to obtain a lighting luminance in the predetermined observation environment, to set a maximum luminance to be displayed in the display device according to the obtained lighting luminance, to convert the obtained image data according to the obtained lighting luminance, and to output the converted image data to the display device whose maximum luminance to be displayed has been set according to the obtained lighting luminance.

In an example there is provided a printing method comprising receiving first and second image data for first and second images to be printed on a substrate, determining first print data for the first image on the basis of the first image data and a white layer to be printed between the first image and second image, to achieve a nominal color profile for the first image; determining second print data for the second image on the basis of the first image data, second image data, the white layer and one or more properties of the substrate to achieve a nominal color profile for the second image; communicating the print data for the first and second images to a printing device to print the first and second images and white layer on the substrate.

Techniques of color image processing involve performing a transformation for each color channel that mixes intensity values from other channels to produce a new intensity value for that channel. The new intensity values, representing the effect of overlapped response spectra of the S, M, and L cones, then provide values of the sensitivities of the photoreceptors of each of the cones. These values of the sensitivities form the basis of more accurate color image processing. For example, compression ratios of gamma-compressed color images may be increased when more the sensitivities are more accurate.