caa a22 4500 605446903 CHVBK 20210128100129.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2059-2 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2059-2 High payload image steganography with minimum distortion based on absolute moment block truncation coding [Elektronische Daten] [Duanhao Ou, Wei Sun] This paper presents an improved image steganography scheme based on absolute moment block truncation coding (AMBTC). The purpose of the proposed scheme is to achieve high payload, good visual quality and low computation complexity at the same time. In the scheme, a threshold is predefined to classify the blocks of the AMBTC-compressed codes as smooth or complex blocks, in which data are then embedded. For the smooth blocks, the bit planes of them are used to embed the data. Later, the two quantization levels in the smooth block are re-calculated to minimize the distortion in image quality. For the complex blocks, a proportion of secret bits are concealed by exchanging the order of two quantization levels with together toggling the bit plane, by which the payload can be increased without any distortion. Furthermore, the proposed scheme inherits the advantages of the AMBTC method, such as pleasing image quality, ease to be implemented and low computational complexity. With adjustable threshold, the application of the proposed scheme becomes flexible, that means different thresholds can be used for different applications. Experimental results and analysis demonstrate the effectiveness and superiority of the proposed scheme. Springer Science+Business Media New York, 2014 Steganography nationallicence Smooth block nationallicence Minimum distortion nationallicence High payload nationallicence Absolute moment block truncation coding nationallicence Ou Duanhao School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China aut Sun Wei 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), 9117-9139 1380-7501 74:21<9117 2015 74 11042 https://doi.org/10.1007/s11042-014-2059-2 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/s11042-014-2059-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ou Duanhao School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China aut NATIONALLICENCE 700 1- Sun Wei 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), 9117-9139 1380-7501 74:21<9117 2015 74 11042