caa a22 4500 606159878 CHVBK 20210128100627.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00521-014-1747-1 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1747-1 A copyright protection using watermarking scheme based on nonlinear permutation and its quality metrics [Elektronische Daten] [Majid Khan, Tariq Shah] The advancement of the Internet stretched as frequently as it can in the openness of modernized data, for instance, image, audio and video for public usage. Digital watermarking is a building that delivers surety and support to data check, security and copyright protection of cutting-edge media. This paper combines the purpose of investment study watermarking definition, thought and the guideline responsibilities in this field, for instance, orders of watermarking process that advice which watermarking procedure should be used. It starts with defining some basics and proposing scheme which is based on nonlinear permutation, least significant bits, chaotic logistic and Gauss maps. Finally, distance metrics for proposed scheme discussed to assure the watermark in test image. The Natural Computing Applications Forum, 2014 Watermarking nationallicence Nonlinear permutation nationallicence Least significant bits nationallicence Chaotic logistic map nationallicence Distance metrics nationallicence Khan Majid Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Islamabad, Pakistan aut Shah Tariq Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan aut Neural Computing and Applications Springer London 26/4(2015-05-01), 845-855 0941-0643 26:4<845 2015 26 521 https://doi.org/10.1007/s00521-014-1747-1 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/s00521-014-1747-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Khan Majid Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Shah Tariq Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/4(2015-05-01), 845-855 0941-0643 26:4<845 2015 26 521