This paper proposes a new color halftone image quality assessment method based upon the color structural similarity measure with considering the human visual characteristics. To include the color visual characteristics, we carry out the color filtering for each luminance, red-green, and blue-yellow channels. Then, we apply the color structural similarity measure to the color filtered images, which are the reference image and the halftoned image, to evaluate the localized structural difference. By considering those characteristics, in this paper, the assessment of the color halftone images can be realized. We apply the proposed measure to the various kinds of color halftone images and confirm that the proposed measure can give reasonable results compared with the results by subjective evaluation.
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JunHak LEE, Takahiko HORIUCHI, "Image Quality Assessment for Color Halftone Images Based on Color Structural Similarity" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 6, pp. 1392-1399, June 2008, doi: 10.1093/ietfec/e91-a.6.1392.
Abstract: This paper proposes a new color halftone image quality assessment method based upon the color structural similarity measure with considering the human visual characteristics. To include the color visual characteristics, we carry out the color filtering for each luminance, red-green, and blue-yellow channels. Then, we apply the color structural similarity measure to the color filtered images, which are the reference image and the halftoned image, to evaluate the localized structural difference. By considering those characteristics, in this paper, the assessment of the color halftone images can be realized. We apply the proposed measure to the various kinds of color halftone images and confirm that the proposed measure can give reasonable results compared with the results by subjective evaluation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.6.1392/_p
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@ARTICLE{e91-a_6_1392,
author={JunHak LEE, Takahiko HORIUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Quality Assessment for Color Halftone Images Based on Color Structural Similarity},
year={2008},
volume={E91-A},
number={6},
pages={1392-1399},
abstract={This paper proposes a new color halftone image quality assessment method based upon the color structural similarity measure with considering the human visual characteristics. To include the color visual characteristics, we carry out the color filtering for each luminance, red-green, and blue-yellow channels. Then, we apply the color structural similarity measure to the color filtered images, which are the reference image and the halftoned image, to evaluate the localized structural difference. By considering those characteristics, in this paper, the assessment of the color halftone images can be realized. We apply the proposed measure to the various kinds of color halftone images and confirm that the proposed measure can give reasonable results compared with the results by subjective evaluation.},
keywords={},
doi={10.1093/ietfec/e91-a.6.1392},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Image Quality Assessment for Color Halftone Images Based on Color Structural Similarity
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1392
EP - 1399
AU - JunHak LEE
AU - Takahiko HORIUCHI
PY - 2008
DO - 10.1093/ietfec/e91-a.6.1392
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2008
AB - This paper proposes a new color halftone image quality assessment method based upon the color structural similarity measure with considering the human visual characteristics. To include the color visual characteristics, we carry out the color filtering for each luminance, red-green, and blue-yellow channels. Then, we apply the color structural similarity measure to the color filtered images, which are the reference image and the halftoned image, to evaluate the localized structural difference. By considering those characteristics, in this paper, the assessment of the color halftone images can be realized. We apply the proposed measure to the various kinds of color halftone images and confirm that the proposed measure can give reasonable results compared with the results by subjective evaluation.
ER -