Novel steganographic method based on generalized K -distance N -dimensional pixel matching
Gespeichert in:
Verfasser / Beitragende:
[Bingwen Feng, Wei Lu, Wei Sun]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/21(2015-11-01), 9623-9646
Format:
Artikel (online)
Online Zugang:
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| 024 | 7 | 0 | |a 10.1007/s11042-014-2140-x |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-2140-x | ||
| 245 | 0 | 0 | |a Novel steganographic method based on generalized K -distance N -dimensional pixel matching |h [Elektronische Daten] |c [Bingwen Feng, Wei Lu, Wei Sun] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Steganography |2 nationallicence | |
| 690 | 7 | |a Pixel matching |2 nationallicence | |
| 690 | 7 | |a N -dimensional neighborhood |2 nationallicence | |
| 690 | 7 | |a Successive iteration algorithm (SIA) |2 nationallicence | |
| 690 | 7 | |a Linear mapping function |2 nationallicence | |
| 700 | 1 | |a Feng |D Bingwen |u The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 700 | 1 | |a Lu |D Wei |u The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 700 | 1 | |a Sun |D Wei |u The School of Software, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9623-9646 |x 1380-7501 |q 74:21<9623 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-2140-x |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-2140-x |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Feng |D Bingwen |u The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lu |D Wei |u The School of Information Science and Technology, Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Wei |u The School of Software, Sun Yat-sen University, 510006, Guangzhou, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9623-9646 |x 1380-7501 |q 74:21<9623 |1 2015 |2 74 |o 11042 | ||