The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O filtro de difusão de erros neste artigo é otimizado em relação ao padrão de ruído azul ideal correspondente a um único nível de tom. Os coeficientes do filtro são otimizados pela minimização da norma do erro quadrático entre os espectros de potência de Fourier do meio-tom resultante e o padrão de ruído azul. Durante o processo de otimização, o algoritmo de correspondência de espectro de potência de padrão binário é aplicado com o auxílio de um novo modelo de ruído azul. O número de filtros ideais é igual ao de tons diferentes. A fidelidade visual dos meios-tons de dois níveis gerados pelos filtros de difusão de erro é avaliada em termos de uma relação sinal-ruído ponderada, espectros de potência de Fourier e outros. Resultados experimentais demonstraram que o conjunto de filtros proposto gera meios-tons de dois níveis satisfatórios de imagens em tons de cinza.
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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 -