caa a22 4500 605447101 CHVBK 20210128100130.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2140-x doi (NATIONALLICENCE)springer-10.1007/s11042-014-2140-x Novel steganographic method based on generalized K -distance N -dimensional pixel matching [Elektronische Daten] [Bingwen Feng, Wei Lu, Wei Sun] In this paper, a steganographic scheme adopting the concept of the generalized K d -distance N-dimensional pixel matching is proposed. The generalized pixel matching embeds a B-ary digit (B is a function of K and N) into a cover vector of length N, where the order-d Minkowski distance-measured embedding distortion is no larger than K. In contrast to other pixel matching-based schemes, a N-dimensional reference table is used. By choosing d, K, and N adaptively, an embedding strategy which is suitable for arbitrary relative capacity can be developed. Additionally, an optimization algorithm, namely successive iteration algorithm (SIA), is proposed to optimize the codeword assignment in the reference table. Benefited from the high dimensional embedding and the optimization algorithm, nearly maximal embedding efficiency is achieved. Compared with other content-free steganographic schemes, the proposed scheme provides better image quality and statistical security. Moreover, the proposed scheme performs comparable to state-of-the-art content-based approaches after combining with image models. Springer Science+Business Media New York, 2014 Steganography nationallicence Pixel matching nationallicence N -dimensional neighborhood nationallicence Successive iteration algorithm (SIA) nationallicence Linear mapping function nationallicence Feng Bingwen The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China aut Lu Wei The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China aut Sun Wei The School of Software, Sun Yat-sen University, 510006, Guangzhou, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9623-9646 1380-7501 74:21<9623 2015 74 11042 https://doi.org/10.1007/s11042-014-2140-x 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/s11042-014-2140-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Feng Bingwen The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China aut NATIONALLICENCE 700 1- Lu Wei The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China aut NATIONALLICENCE 700 1- Sun Wei The School of Software, Sun Yat-sen University, 510006, Guangzhou, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9623-9646 1380-7501 74:21<9623 2015 74 11042