A critical review of spectral models applied to binary color printing

Wyble, David R.; Berns, Roy S.

doi:10.1002/(sici)1520-6378(200002)25:1<4::aid-col3>3.0.co;2-x

Cited by 126 publications

(111 citation statements)

References 10 publications

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“…The detailed formulation and use should be consulted with [4]. Note that the approach described in [4] cannot discriminate the mixed area.…”

Section: Comparison With a Reference Methods In Terms Of Effective Arementioning

confidence: 99%

“…This preliminary stage of subsequent processing finds numerous applications in graphics, image processing, medical applications, computer vision, pattern recognition etc. Likewise, a recent study [2] proposed an extension of Murray-Davies (MD) tone reproduction model using the segmentation results, which is the base of many successful color prediction models for halftone prints [3,4]. The aforementioned study justifies segmenting microscale image of halftone prints in a distinct set of pixels (called mixed area) in addition to solid ink and unprinted paper (see Fig.…”

Section: Introductionmentioning

confidence: 99%

“…The fractional coverage of halftone prints is used as the parameters to scale the reflectance of fulltone ink and white paper to calculate the total reflectance [4]. Therefore, accurate segmentation of an image of halftone print is an Normalized histograms of FM offset prints: (a) 25%, 50% and 75% cyan coverage (b) 50% cyan, 50% magenta and 50% yellow inks (c) 50% cyan in different types of papers essential to calculate the model parameters [2] or to characterize the prints.…”

Section: Introductionmentioning

confidence: 99%

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Color transform analysis for microscale image segmentation to study halftone model parameters

Rahaman

Islam

2016

Open Computer Science

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This article presents a comprehensive study of 30 color transforms to accurately segment images of halftone prints and thus calculating the parameters of a color prediction model. The transforms are evaluated combining three metrics: the model accuracy, Otsu's discriminant, and correlation coefficients of histograms. Hierarchical cluster analysis is applied to determine the thresholds to segment the image histogram into paper, ink and mixed area. Among the 30 different transforms discussed in this article, 21 channels are of 7 color space models (RGB, CMYK, CIELAB, HSV, YIQ, YCbCr, and XYZ) and the other 9 channels are specially designed. Notable increase in model accuracy validates the segmentation accuracy and the necessity of choosing the appropriate transform. A set of 180 halftone images of different print properties (such as paper, halftone, ink and printing technology) has been used for the evaluation. It is found that, the most appropriate transform depends on the type of primary ink, but the corresponding transforms in CMYK color space model have shown consistent performance. CMYK-C, XYZ-Y and LAB-B are the best transforms for Cyan, Magenta and Yellow ink color respectively. YIQ-I and HSV-S are good candidates if a single transform is to be chosen for all primary ink colors.

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“…The detailed formulation and use should be consulted with [4]. Note that the approach described in [4] cannot discriminate the mixed area.…”

Section: Comparison With a Reference Methods In Terms Of Effective Arementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Color transform analysis for microscale image segmentation to study halftone model parameters

Rahaman

Islam

2016

Open Computer Science

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“…Several approaches allow relating the microscopic distribution of dots with the resulting average macroscopic color [12]. These approaches, which are important in practice since they allow controlling the printing process, can be divided into two classes:…”

Section: Introductionmentioning

confidence: 99%

“…There are several regression-based models, such as Neugebauer, Murray-Davies, Yule-Nielsen, modified Neugebauer, and others [12]. From "first principles": These approaches are based on physical models of the processes occurring during and after printing; they are harder to implement and, as far as we know, haven't achieved the performance of regression-based methods [12].…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles

Latorre

Perís-Fajarnés

Figueiredo

2005

Lecture Notes in Computer Science

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Abstract. Colour prediction models (CPM) can be used to analyze the printing quality of halftone-based color printing systems. In this paper, we consider the Neugebauer CPM which requires as input the fraction of occupation of each primary. To obtain these numbers, we apply several image segmentation algorithms, with and without contextual information. These segmentation algorithms are evaluated with respect to another technique based on mixtures of factor analyzers. More importantly, the segmentation results are evaluated with respect to the performance of the Neugebauer CPM when used with the obtained fractions of occupation. This evaluation is carried out by comparing the predicted color against that measured with a spectrophotometer, and testifies for the adequacy of the approach.

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A generalized Clapper-Yule model of halftone reflectance

Rogers

2000

Color Res. Appl.

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The Clapper-Yule model of halftone reflectance includes the effects of light diffusion and multiple internal reflection between the ink-layer and the paper substrate. It models complete scatter-the case in which the distance a photon diffuses is much greater than the screen period. The current work generalizes this to any degree of scatter. The model is presented in terms of probability functions, and the probabilities are calculated from the paper's point spread function (PSF). Photon diffusion within paper is due to two processes: scatter and multiple internal reflection. The usually defined PSF includes both processes. Ink on the paper surface, however, alters the internal reflectance, and so the usually defined PSF depends on the percent ink coverage. The current model separates the effects of scatter from the effects of internal reflection. The PSF introduced here accounts for scatter only-it is independent of the percent ink coverage. It is shown that the generalized Clapper-Yule model corresponds to Yule-Nielsen n-values significantly greater than 2, unlike the case of no internal reflection for which the maximum n-value is equal to 2.

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A critical review of spectral models applied to binary color printing

Cited by 126 publications

References 10 publications

Color transform analysis for microscale image segmentation to study halftone model parameters

Color transform analysis for microscale image segmentation to study halftone model parameters

Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles

A generalized Clapper-Yule model of halftone reflectance

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