Calibrating the Yule&amp;#x2013;Nielsen Modified Spectral Neugebauer Model with Ink Spreading Curves Derived from Digitized RGB Calibration Patch Images

Garg, Nishtha; Singla, Adish; Hersch, Roger D.

doi:10.2352/j.imagingsci.technol.(2008)52:4(040908)

Cited by 18 publications

(10 citation statements)

References 9 publications

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“…Color prediction models have been successfully applied to color reproduction management [5][6][7][8][9]. Their major drawback is that all of them are computationally capacious, as colorants require a solution of system of equations; therefore, they might be barely implicated into a real workflow.…”

Section: Introductionmentioning

confidence: 99%

Basic Mathematics of Color Space Invariants

Milder

Tarasov

2020

Wseas Transactions on Mathematics

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Color management in printing processes has been traditionally based on an analysis of the behavior of tone reproduction curves (TRC) calculated for the initial color channels. The tone curves, as well as, the color channels, are considered separately. This approach does not take into account the mutual influence of colorants when they overlap. We propose replacing two-dimensional tone reproduction curves with threedimensional gradation trajectories in the CIE Lab metric space. When two colors overlap, one considers the space between two gradation trajectories that forms a gradation surface. These objects are described using the apparatus of differential geometry of spatial curves and surfaces, respectively, and are also invariants of color spaces. In this paper, we offer their analytical description.

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Section: Introductionmentioning

confidence: 99%

Basic Mathematics of Color Space Invariants

Milder

Tarasov

2020

Wseas Transactions on Mathematics

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“…The color prediction models have been successfully applied to the color reproduction management [5][6][7][8][9], however, all the proposed approaches require a significant number of measurements, computations and checks. However, since most of them are based on empirical relationships, the accuracy of predicting some shades of the reflection spectrum remains low.…”

Section: Introductionmentioning

confidence: 99%

Determining the Ideal Initial Printing Colorants in Electrophotography by the Discrete Gradation Trajectories

Tarasov¹,

Milder²

2020

Preprint

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The accuracy and repeatability of the color reproduction in print is determined by the fine tuning of the tone reproduction curves of the basic printing colorants (most often this is CMYK). However, the diversity of manufacturers of printing equipment and dyes introduces an element of significant uncertainty about color uniformity. In addition, the traditional approach does not take into account the effect of hue change when applying the original dyes, as well as, the non-linearity of the hue rise in high and low density areas. Determining the color of base colorants that produces the most uniform tone change is an important engineering challenge. Previously, there was no scientific basis for such calculations. We recently proposed an alternative color correction model based on gradation trajectories as an analogue of gradation curves in the CIE Lab space. We have also described the extension of the approach to double color overlay (gradation surfaces) and its analytical and discrete implications. The trajectories are the geodetic lines on gradation surfaces. In this paper, we propose using the gradation trajectories to determine "ideal" or "true" initial printing dyes for electrophotography. To simplify calculations, natural color discretization in digital printing is used.

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“…Many researches are reported in the literature to separately characterize physical and optical dot gain. Garg et al [30], Hebert and Hersch [45], Yang and Lundström [119] used transmittance and reflectance value measurement to estimate the physical dot gain e↵ect. Koopipat et al [61] and Yamashita et al [116] have reported that the reflected images are images that include both physical and optical dot gain, while the transmitted images only include the physical dot gain e↵ect.…”

Section: Introductionmentioning

confidence: 99%

“…In previous works the physical and optical dot gains were mostly analyzed by illustrating their respective dot gain curves [30,45,119]. These curves only show the relationship between the e↵ective dot area and the reference (or nominal) dot area, and do not illustrate the shape of the printed dots including the e↵ect of optical dot gain, which is closely related to the optical properties of the paper and physical dot shape.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Halftone Prints based on Microscale Image Analysis

Namedanian¹

2013

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Ink spreading and lateral light scattering in the substrate a↵ect the color of a halftone print. One of the most important phenomena which a↵ects the print result is dot gain, meaning that printed dots appear larger than the dots in the digital bitmap. This is partly due to the ink spreading and ink penetration into the substrate, resulting in an enhancement of the physical dot size, referred to as the physical dot gain. Lateral propagation of light in paper, causes printed dots to appear larger than their physical size, which is called optical dot gain. Characterization of total dot gain, i.e. the combination of physical and optical dot gain, is an important issue in the study of paper properties and print characteristics. Many models based on macroscopic measurements are reported in the literature to separately characterize both physical and optical dot gains. The aim of this study is to go beyond the macroscopic models, and to study the halftone prints on a microscopic scale, by using microscale images captured by a high-resolution camera.In this dissertation, three approaches based on the Murray-Davies model are proposed to obtain the total dot gain. In the first approach, by minimizing the root-mean-square di↵erence between the calculated spectrum and the reflected spectrum measured by the spectrophotometer, the total dot gain is approximated. The other two approaches are based on microscale images captured by a high-resolution camera. These two approaches di↵er in their schemes on how to obtain the gray tone of the full tone ink. By the use of microscale images, it is also possible to illustrate the shape of the e↵ective dot area for the investigated paper substrate.A novel approach based on the histogram of microscale images is also proposed to separate physical from optical dot gain. Attaining the physical dot gain characteristic makes it possible to determine the actual physical dot shape, by which the Modulation Transfer Function (MTF) of the paper substrate is estimated. The proposed approach is validated by comparing the estimated MTF of eleven o↵set printed coated papers to the MTF obtained from the unprinted papers using measured and Monte-Carlo simulated edge response.Another potential usage based on the separation of physical from optical dot gain, is to study the characterization of di↵erent color inks.ii

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Calibrating the Yule–Nielsen Modified Spectral Neugebauer Model with Ink Spreading Curves Derived from Digitized RGB Calibration Patch Images

Cited by 18 publications

References 9 publications

Basic Mathematics of Color Space Invariants

Basic Mathematics of Color Space Invariants

Determining the Ideal Initial Printing Colorants in Electrophotography by the Discrete Gradation Trajectories

Characterization of Halftone Prints based on Microscale Image Analysis

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