An Optimum Design of Error Diffusion Filters Using the Blue Noise in All Graylevels
Summary :
The error diffusion filter in this paper is optimized with respect to the ideal blue noise pattern corresponding to a single tone level. The filter coefficients are optimized by the minimization of the squared error norm between the Fourier power spectra of the resulting halftone and the blue noise pattern. During the process of optimization, the binary pattern power spectrum matching algorithm is applied with the aid of a new blue noise model. The number of the optimum filters is equal to that of different tones. The visual fidelity of the bilevel halftones generated by the error diffusion filters is evaluated in terms of a weighted signal-to-noise ratio, Fourier power spectra, and others. Experimental results have demonstrated that the proposed filter set generates satisfactory bilevel halftones of grayscale images.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.8 pp.1465-1475
- Publication Date
- 2010/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1465
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Keyword
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Junghyeun HWANG, Hisakazu KIKUCHI, Shogo MURAMATSU, Jaeho SHIN, "An Optimum Design of Error Diffusion Filters Using the Blue Noise in All Graylevels" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 8, pp. 1465-1475, August 2010, doi: 10.1587/transfun.E93.A.1465.
Abstract: The error diffusion filter in this paper is optimized with respect to the ideal blue noise pattern corresponding to a single tone level. The filter coefficients are optimized by the minimization of the squared error norm between the Fourier power spectra of the resulting halftone and the blue noise pattern. During the process of optimization, the binary pattern power spectrum matching algorithm is applied with the aid of a new blue noise model. The number of the optimum filters is equal to that of different tones. The visual fidelity of the bilevel halftones generated by the error diffusion filters is evaluated in terms of a weighted signal-to-noise ratio, Fourier power spectra, and others. Experimental results have demonstrated that the proposed filter set generates satisfactory bilevel halftones of grayscale images.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1465/_p
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@ARTICLE{e93-a_8_1465,
author={Junghyeun HWANG, Hisakazu KIKUCHI, Shogo MURAMATSU, Jaeho SHIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Optimum Design of Error Diffusion Filters Using the Blue Noise in All Graylevels},
year={2010},
volume={E93-A},
number={8},
pages={1465-1475},
abstract={The error diffusion filter in this paper is optimized with respect to the ideal blue noise pattern corresponding to a single tone level. The filter coefficients are optimized by the minimization of the squared error norm between the Fourier power spectra of the resulting halftone and the blue noise pattern. During the process of optimization, the binary pattern power spectrum matching algorithm is applied with the aid of a new blue noise model. The number of the optimum filters is equal to that of different tones. The visual fidelity of the bilevel halftones generated by the error diffusion filters is evaluated in terms of a weighted signal-to-noise ratio, Fourier power spectra, and others. Experimental results have demonstrated that the proposed filter set generates satisfactory bilevel halftones of grayscale images.},
keywords={},
doi={10.1587/transfun.E93.A.1465},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - An Optimum Design of Error Diffusion Filters Using the Blue Noise in All Graylevels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1465
EP - 1475
AU - Junghyeun HWANG
AU - Hisakazu KIKUCHI
AU - Shogo MURAMATSU
AU - Jaeho SHIN
PY - 2010
DO - 10.1587/transfun.E93.A.1465
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2010
AB - The error diffusion filter in this paper is optimized with respect to the ideal blue noise pattern corresponding to a single tone level. The filter coefficients are optimized by the minimization of the squared error norm between the Fourier power spectra of the resulting halftone and the blue noise pattern. During the process of optimization, the binary pattern power spectrum matching algorithm is applied with the aid of a new blue noise model. The number of the optimum filters is equal to that of different tones. The visual fidelity of the bilevel halftones generated by the error diffusion filters is evaluated in terms of a weighted signal-to-noise ratio, Fourier power spectra, and others. Experimental results have demonstrated that the proposed filter set generates satisfactory bilevel halftones of grayscale images.
ER -
English
