caa a22 4500 60616040X CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1615-z doi (NATIONALLICENCE)springer-10.1007/s00521-014-1615-z Coevolutionary genetic watermarking for owner identification [Elektronische Daten] [Yueh-Hong Chen, Hsiang-Cheh Huang] In this paper, we propose a coevolutionary genetic watermarking scheme based on wavelet packet transform. Wavelet packet transform can be viewed as a generalization of the discrete wavelet transform, and a best wavelet basis in the sense of some cost metric can be found within a large library of permissible bases. Coevolutionary genetic algorithm is employed to select an appropriate basis from permissible bases of wavelet packet transform, and it determines the subbands for watermark embedding. Experimental results demonstrate that proposed method can increase the capability to resist specific image processing methods while keeping quality of the watermarked image acceptable. Moreover, the architecture of cooperative coevalutionary genetic algorithm is particularly suitable in distributed computing environment. This characteristic would make genetic watermarking schemes more applicable in real-world applications. Springer-Verlag London, 2014 Image watermarking nationallicence Cooperative coevolutionary genetic algorithm nationallicence Owner identification nationallicence Data hiding nationallicence Chen Yueh-Hong Department of Computer Science and Information Engineering, Far East University, Tainan, Taiwan, ROC aut Huang Hsiang-Cheh Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC aut Neural Computing and Applications Springer London 26/2(2015-02-01), 291-298 0941-0643 26:2<291 2015 26 521 https://doi.org/10.1007/s00521-014-1615-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1615-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Yueh-Hong Department of Computer Science and Information Engineering, Far East University, Tainan, Taiwan, ROC aut NATIONALLICENCE 700 1- Huang Hsiang-Cheh Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 291-298 0941-0643 26:2<291 2015 26 521