caa a22 4500 605446989 CHVBK 20210128100130.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2080-5 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2080-5 Random grids-based visual secret sharing with improved visual quality via error diffusion [Elektronische Daten] [Xuehu Yan, Shen Wang, Ahmed El-Latif, Xiamu Niu] In this paper, a visual secret sharing scheme for case (k, n) based on random noise balanced error diffusion (RNBED) is proposed. The proposed scheme satisfies (k, n) threshold, requiring no codebook design, and avoiding the pixel expansion problem. In addition, it improves existing schemes in terms of contrast and evenness, which are two important metrics for evaluating the visual quality of recovered secret. Experimental results and security analyses show the effectiveness of the proposed scheme. Comparisons with previous approaches show the advantages of the proposed scheme. Springer Science+Business Media New York, 2014 Visual secret sharing nationallicence Random grids nationallicence Boolean operations nationallicence Visual quality nationallicence Error diffusion nationallicence Yan Xuehu School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut Wang Shen School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut El-Latif Ahmed School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut Niu Xiamu School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9279-9296 1380-7501 74:21<9279 2015 74 11042 https://doi.org/10.1007/s11042-014-2080-5 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/s11042-014-2080-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yan Xuehu School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut NATIONALLICENCE 700 1- Wang Shen School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut NATIONALLICENCE 700 1- El-Latif Ahmed School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut NATIONALLICENCE 700 1- Niu Xiamu School of Computer Science and Technology, Harbin Institute of Technology, 150080, Harbin, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9279-9296 1380-7501 74:21<9279 2015 74 11042