Color digital halftoning taking colorimetric color reproduction into account

Haneishi, Hideaki; Suzuki, Toshiaki; Shimoyama, Nobukatsu; Miyake, Yoichi

doi:10.1117/12.227441

Cited by 39 publications

(3 citation statements)

References 6 publications

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“…The tone-dependent diffusion filter for updating a specific A k for k ≠ s is defined based on color s, color k, and color β, where color β is the background color of pixel ðx 0 ; y 0 Þ and is selected based on the following criterion: I β ðx 0 ; y 0 Þ ≥ I m ðx 0 ; y 0 Þ for 0 < m < 9: (13) When there is more than one color that satisfies Eq. (13), the one that dominates the local region is selected.…”

Section: Tone-dependent Diffusion Filtermentioning

confidence: 99%

“…[13][14][15][16][17][18][19][20][21] When the quantizer is overloaded, there can be other significant color artifacts, such as smear and slow response, which make it difficult to preserve highfrequency spatial features. It independently processes each color channel of a color image with error diffusion and then superimposes the generated halftones to form a color halftone.…”

Section: Introductionmentioning

confidence: 99%

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Blue noise digital color halftoning with multiscale error diffusion

Fung

Chan

2014

J. Electron. Imaging

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A recent trend in color halftoning is to explicitly control color overlapping, dot positioning, and dot coloring in different stages of the halftoning process. As feature-preserving multiscale error diffusion (FMED) shows its capability and flexibility in dot positioning in both binary and multilevel halftoning applications, it naturally becomes a potential candidate in the development of new color halftoning algorithms. This paper presents an FMED-based color halftoning algorithm developed based on the aforementioned strategy. In contrast to the algorithms that adopt the same strategy, the proposed algorithm has no bias for specific Neugebauer primaries in dot coloring and has no fixed scanning path to place dots in dot positioning. These features allow the algorithm to place dots of the correct colors on the right positions with less constraint. Hence, the algorithm is better able to preserve image features. Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 05/15/2015 Terms of Use: http://spiedl.org/terms Journal of Electronic Imaging 063013-10 Nov∕Dec 2014 • Vol. 23(6) Fung and Chan: Blue noise digital color halftoning with multiscale error diffusion Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 05/15/2015 Terms of Use: http://spiedl.org/terms

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Section: Tone-dependent Diffusion Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blue noise digital color halftoning with multiscale error diffusion

Fung

Chan

2014

J. Electron. Imaging

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“…Various vector error diffusion algorithms were also proposed to perform the quantization step jointly for the entire color vector to better control the output colors. [7][8][9] Shaked et al 10,11 developed an algorithm that incorporated the minimal brightness variation criterion ͑MBVC͒ design rule to limit the range of brightness in local areas of a halftone. These methods generally yield better color halftone textures than do the scalar versions.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional interconnection scheme for color error diffusion

Huang

Ressler

Shoop

2008

J. Electron. Imaging

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This is a generalization, to color images, of earlier results on two-dimensional monochromatic halftoning with error diffusion neural networks (EDNs). Previously, we have shown that EDNs find local minima of frequency-weighted error between a binary halftone output and corresponding smoothly varying input, which is an ideal framework for solving halftone problems. We cast color halftoning as four related subproblems: the first three are to compute good binary halftones for each primary color and the fourth is to simultaneously minimize frequency-weighted error in the luminosity of the composite result. We show that an EDN with a three-dimensional (3D) interconnection scheme can solve all four problems in parallel. The 3D EDN algorithm not only shapes the error to frequencies to which the human visual system (HVS) is least sensitive but also shapes the error in colors to which the HVS is least sensitivenamely it satisfies the minimum brightness variation criterion. The correlation among the color planes by luminosity reduces the formation of high contrast pixels, such as black and white pixels that often constitute color noise, resulting in a smoother and more homogeneous appearance in a halftone image and a closer resemblance to the continuous tone image.

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2013

Color Appearance Models

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Color digital halftoning taking colorimetric color reproduction into account

Cited by 39 publications

References 6 publications

Blue noise digital color halftoning with multiscale error diffusion

Blue noise digital color halftoning with multiscale error diffusion

Three-dimensional interconnection scheme for color error diffusion

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