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
Robustez e invisibilidade são duas restrições contrárias para marcas d’água invisíveis robustas. Em vez da estratégia convencional com modelo de sistema visual humano (HVS), este artigo apresenta uma abordagem adaptativa de conteúdo para otimizar ainda mais a restrição entre eles. Para atingir esta meta, as medidas baseadas em entropia e integradas em HVS (IHVS) são construídas de modo a escolher de forma adaptativa os componentes adequados para inserção e detecção de marca d'água. Tal tipo de esquema potencialmente dá origem a problemas de sincronização entre o codificador e o decodificador no âmbito da marca d'água cega, que é então resolvido pela incorporação do código de repetição-acumulação (RA) com apagamento e correção de erros. Além disso, um novo detector baseado em modelo de Markov oculto (HMM) no domínio wavelet é introduzido para reduzir a complexidade computacional e é posteriormente desenvolvido para evitar a transmissão de parâmetros HMM com apenas um pequeno sacrifício no desempenho de detecção. Resultados experimentais mostram que o algoritmo proposto pode obter melhoria considerável no desempenho de robustez com a mesma distorção do algoritmo tradicional.
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Chuntao WANG, Jiangqun NI, Rongyue ZHANG, Goo-Rak KWON, Sung-Jea KO, "Content-Adaptive Robust Image Watermarking with Posterior HMM-Based Detector" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 8, pp. 1953-1960, August 2008, doi: 10.1093/ietfec/e91-a.8.1953.
Abstract: Robustness and invisibility are two contrary constraints for robust invisible watermarking. Instead of the conventional strategy with human visual system (HVS) model, this paper presents a content-adaptive approach to further optimize the constraint between them. To reach this target, the entropy-based and integrated HVS (IHVS) based measures are constructed so as to adaptively choose the suitable components for watermark insertion and detection. Such a kind of scheme potentially gives rise to synchronization problem between the encoder and decoder under the framework of blind watermarking, which is then solved by incorporating the repeat-accumulate (RA) code with erasure and error correction. Moreover, a new hidden Markov model (HMM) based detector in wavelet domain is introduced to reduce the computation complexity and is further developed into a posterior one to avoid the transmission of HMM parameters with only a little sacrifice of detection performance. Experimental results show that the proposed algorithm can obtain considerable improvement in robustness performance with the same distortion as the traditional one.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.8.1953/_p
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@ARTICLE{e91-a_8_1953,
author={Chuntao WANG, Jiangqun NI, Rongyue ZHANG, Goo-Rak KWON, Sung-Jea KO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Content-Adaptive Robust Image Watermarking with Posterior HMM-Based Detector},
year={2008},
volume={E91-A},
number={8},
pages={1953-1960},
abstract={Robustness and invisibility are two contrary constraints for robust invisible watermarking. Instead of the conventional strategy with human visual system (HVS) model, this paper presents a content-adaptive approach to further optimize the constraint between them. To reach this target, the entropy-based and integrated HVS (IHVS) based measures are constructed so as to adaptively choose the suitable components for watermark insertion and detection. Such a kind of scheme potentially gives rise to synchronization problem between the encoder and decoder under the framework of blind watermarking, which is then solved by incorporating the repeat-accumulate (RA) code with erasure and error correction. Moreover, a new hidden Markov model (HMM) based detector in wavelet domain is introduced to reduce the computation complexity and is further developed into a posterior one to avoid the transmission of HMM parameters with only a little sacrifice of detection performance. Experimental results show that the proposed algorithm can obtain considerable improvement in robustness performance with the same distortion as the traditional one.},
keywords={},
doi={10.1093/ietfec/e91-a.8.1953},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Content-Adaptive Robust Image Watermarking with Posterior HMM-Based Detector
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1953
EP - 1960
AU - Chuntao WANG
AU - Jiangqun NI
AU - Rongyue ZHANG
AU - Goo-Rak KWON
AU - Sung-Jea KO
PY - 2008
DO - 10.1093/ietfec/e91-a.8.1953
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2008
AB - Robustness and invisibility are two contrary constraints for robust invisible watermarking. Instead of the conventional strategy with human visual system (HVS) model, this paper presents a content-adaptive approach to further optimize the constraint between them. To reach this target, the entropy-based and integrated HVS (IHVS) based measures are constructed so as to adaptively choose the suitable components for watermark insertion and detection. Such a kind of scheme potentially gives rise to synchronization problem between the encoder and decoder under the framework of blind watermarking, which is then solved by incorporating the repeat-accumulate (RA) code with erasure and error correction. Moreover, a new hidden Markov model (HMM) based detector in wavelet domain is introduced to reduce the computation complexity and is further developed into a posterior one to avoid the transmission of HMM parameters with only a little sacrifice of detection performance. Experimental results show that the proposed algorithm can obtain considerable improvement in robustness performance with the same distortion as the traditional one.
ER -