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
Principais desafios do convencional modulação de pontilhamento por transformação espalhada A abordagem de marca d'água (STDM) é dupla: (i) explora um fixado força da marca d'água (mais particularmente, o tamanho do passo do índice de quantização) em toda a imagem da capa; e (ii) é bastante vulnerável às mudanças de amplitude. Para enfrentar os desafios acima, um modulação de pontilhamento de transformação de propagação adaptativa (ASTDM) é proposta neste artigo para conduzir marcas d'água robustas em imagens coloridas, incorporando um novo modelo perceptual na estrutura STDM convencional. A abordagem proposta explora um novo modelo perceptual para ajustar os tamanhos dos passos do índice de quantização de acordo com as características perceptivas locais de uma imagem de capa. Além disso, em contraste com o modelo convencional de Watson, que é vulnerável às mudanças de amplitude, nosso novo modelo perceptual proposto faz com que os limiares de mascaramento de luminância sejam consistentes com qualquer mudança de amplitude, mantendo a consistência com as propriedades do sistema visual humano. Além disso, certos artefatos de cor podem ocorrer durante o procedimento de incorporação da marca d'água, uma vez que alguns valores de intensidade são alterados perceptivelmente para rotular a marca d'água. Para isso, um algoritmo de supressão de artefatos de cor é proposto derivando matematicamente um limite superior para os valores de intensidade de acordo com a relação inerente entre a saturação e os componentes de intensidade. Extensos experimentos são conduzidos usando 500 imagens selecionadas do banco de dados Corel para demonstrar o desempenho superior da abordagem ASTDM proposta.
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Lihong MA, Dong YU, Gang WEI, Jing TIAN, Hanqing LU, "Adaptive Spread-Transform Dither Modulation Using a New Perceptual Model for Color Image Watermarking" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 4, pp. 843-857, April 2010, doi: 10.1587/transinf.E93.D.843.
Abstract: Major challenges of the conventional spread-transform dither modulation (STDM) watermarking approach are two-fold: (i) it exploits a fixed watermarking strength (more particularly, the quantization index step size) to the whole cover image; and (ii) it is fairly vulnerable to the amplitude changes. To tackle the above challenges, an adaptive spread-transform dither modulation (ASTDM) approach is proposed in this paper for conducting robust color image watermarking by incorporating a new perceptual model into the conventional STDM framework. The proposed approach exploits a new perceptual model to adjust the quantization index step sizes according to the local perceptual characteristics of a cover image. Furthermore, in contrast to the conventional Watson's model is vulnerable to the amplitude changes, our proposed new perceptual model makes the luminance masking thresholds be consistent with any amplitude change, while keeping the consistence to the properties of the human visual system. In addition, certain color artifacts could be incurred during the watermark embedding procedure, since some intensity values are perceptibly changed to label the watermark. For that, a color artifact suppression algorithm is proposed by mathematically deriving an upper bound for the intensity values according to the inherent relationship between the saturation and the intensity components. Extensive experiments are conducted using 500 images selected from Corel database to demonstrate the superior performance of the proposed ASTDM approach.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.843/_p
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@ARTICLE{e93-d_4_843,
author={Lihong MA, Dong YU, Gang WEI, Jing TIAN, Hanqing LU, },
journal={IEICE TRANSACTIONS on Information},
title={Adaptive Spread-Transform Dither Modulation Using a New Perceptual Model for Color Image Watermarking},
year={2010},
volume={E93-D},
number={4},
pages={843-857},
abstract={Major challenges of the conventional spread-transform dither modulation (STDM) watermarking approach are two-fold: (i) it exploits a fixed watermarking strength (more particularly, the quantization index step size) to the whole cover image; and (ii) it is fairly vulnerable to the amplitude changes. To tackle the above challenges, an adaptive spread-transform dither modulation (ASTDM) approach is proposed in this paper for conducting robust color image watermarking by incorporating a new perceptual model into the conventional STDM framework. The proposed approach exploits a new perceptual model to adjust the quantization index step sizes according to the local perceptual characteristics of a cover image. Furthermore, in contrast to the conventional Watson's model is vulnerable to the amplitude changes, our proposed new perceptual model makes the luminance masking thresholds be consistent with any amplitude change, while keeping the consistence to the properties of the human visual system. In addition, certain color artifacts could be incurred during the watermark embedding procedure, since some intensity values are perceptibly changed to label the watermark. For that, a color artifact suppression algorithm is proposed by mathematically deriving an upper bound for the intensity values according to the inherent relationship between the saturation and the intensity components. Extensive experiments are conducted using 500 images selected from Corel database to demonstrate the superior performance of the proposed ASTDM approach.},
keywords={},
doi={10.1587/transinf.E93.D.843},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Adaptive Spread-Transform Dither Modulation Using a New Perceptual Model for Color Image Watermarking
T2 - IEICE TRANSACTIONS on Information
SP - 843
EP - 857
AU - Lihong MA
AU - Dong YU
AU - Gang WEI
AU - Jing TIAN
AU - Hanqing LU
PY - 2010
DO - 10.1587/transinf.E93.D.843
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2010
AB - Major challenges of the conventional spread-transform dither modulation (STDM) watermarking approach are two-fold: (i) it exploits a fixed watermarking strength (more particularly, the quantization index step size) to the whole cover image; and (ii) it is fairly vulnerable to the amplitude changes. To tackle the above challenges, an adaptive spread-transform dither modulation (ASTDM) approach is proposed in this paper for conducting robust color image watermarking by incorporating a new perceptual model into the conventional STDM framework. The proposed approach exploits a new perceptual model to adjust the quantization index step sizes according to the local perceptual characteristics of a cover image. Furthermore, in contrast to the conventional Watson's model is vulnerable to the amplitude changes, our proposed new perceptual model makes the luminance masking thresholds be consistent with any amplitude change, while keeping the consistence to the properties of the human visual system. In addition, certain color artifacts could be incurred during the watermark embedding procedure, since some intensity values are perceptibly changed to label the watermark. For that, a color artifact suppression algorithm is proposed by mathematically deriving an upper bound for the intensity values according to the inherent relationship between the saturation and the intensity components. Extensive experiments are conducted using 500 images selected from Corel database to demonstrate the superior performance of the proposed ASTDM approach.
ER -