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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, é proposta uma nova abordagem adaptativa de marca d'água digital baseada no modelo de sistema visual humano e na técnica de agrupamento difuso. O modelo do sistema visual humano é utilizado para garantir que a imagem da marca d'água seja imperceptível. A abordagem de agrupamento difuso foi empregada para obter as diferentes forças da marca d'água pelos caracteres locais da imagem. Em nossos experimentos, este esquema nos permite fornecer uma marca d’água mais robusta e transparente.
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Der-Chyuan LOU, Te-Lung YIN, "Adaptive Digital Watermarking Using Fuzzy Clustering Technique" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 8, pp. 2052-2060, August 2001, doi: .
Abstract: In this paper, a novel adaptive digital watermarking approach based upon human visual system model and fuzzy clustering technique is proposed. The human visual system model is utilized to guarantee that the watermarked image is imperceptible. The fuzzy clustering approach has been employed to obtain the different strength of watermark by the local characters of image. In our experiments, this scheme allows us to provide a more robust and transparent watermark.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_8_2052/_p
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@ARTICLE{e84-a_8_2052,
author={Der-Chyuan LOU, Te-Lung YIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Digital Watermarking Using Fuzzy Clustering Technique},
year={2001},
volume={E84-A},
number={8},
pages={2052-2060},
abstract={In this paper, a novel adaptive digital watermarking approach based upon human visual system model and fuzzy clustering technique is proposed. The human visual system model is utilized to guarantee that the watermarked image is imperceptible. The fuzzy clustering approach has been employed to obtain the different strength of watermark by the local characters of image. In our experiments, this scheme allows us to provide a more robust and transparent watermark.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Adaptive Digital Watermarking Using Fuzzy Clustering Technique
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2052
EP - 2060
AU - Der-Chyuan LOU
AU - Te-Lung YIN
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2001
AB - In this paper, a novel adaptive digital watermarking approach based upon human visual system model and fuzzy clustering technique is proposed. The human visual system model is utilized to guarantee that the watermarked image is imperceptible. The fuzzy clustering approach has been employed to obtain the different strength of watermark by the local characters of image. In our experiments, this scheme allows us to provide a more robust and transparent watermark.
ER -