caa a22 4500 605447926 CHVBK 20210128100134.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1881-x doi (NATIONALLICENCE)springer-10.1007/s11042-014-1881-x Histogram shifting based reversible data hiding method using directed-prediction scheme [Elektronische Daten] [Xianyi Chen, Xingming Sun, Huiyu Sun, Lingyun Xiang, Bin Yang] This paper aims at reducing the shifting distortion of histogram shifting reversible data hiding method. Instead of calculating symmetrically the prediction value as were done in other schemes, based on the gradient-adjusted predictor (GAP), a directed-prediction scheme, which includes two asymmetric predictors-the right and left GAPs, is designed to predict asymmetrically pixel value. Then two asymmetric error histograms, with right and left-skewness, are constructed by gathering the directed prediction errors, which effectively reduces the amount of pixels on the shifted side of the error histograms. Moreover, the optimal embedding points and thresholds are calculated by defining an evaluation index of the shifting distortion. Experimental results validate the effectiveness of the proposed method and demonstrate that it outperforms several previous methods in terms of payload and image quality. Springer Science+Business Media New York, 2014 Reversible data hiding nationallicence Directed-prediction scheme nationallicence Gradient-adjusted predictor (GAP) nationallicence Asymmetric-histogram shifting nationallicence Prediction errors nationallicence Chen Xianyi School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut Sun Xingming School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut Sun Huiyu Department of Mathematical Sciences, University of Bath, BA2 7AY, Bath, UK aut Xiang Lingyun School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut Yang Bin School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5747-5765 1380-7501 74:15<5747 2015 74 11042 https://doi.org/10.1007/s11042-014-1881-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/s11042-014-1881-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Xianyi School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut NATIONALLICENCE 700 1- Sun Xingming School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut NATIONALLICENCE 700 1- Sun Huiyu Department of Mathematical Sciences, University of Bath, BA2 7AY, Bath, UK aut NATIONALLICENCE 700 1- Xiang Lingyun School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut NATIONALLICENCE 700 1- Yang Bin School of Information Science and Engineering, Hunan University, 410082, Hunan, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5747-5765 1380-7501 74:15<5747 2015 74 11042