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Coverless Image Steganography Method Based on Feature Selection

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摘要 A new information hiding technology named coverless information hiding is proposed.It uses original natural images as stego images to represent secret information.The focus of coverless image steganography method is how to represent image features and establish a map relationship between image feature and the secret information.In this paper,we use three kinds of features which are Local Binary Pattern(LBP),the mean value of pixels and the variance value of pixels.On this basis,we realize the transmission of secret information.Firstly,the hash sequence of the original cover image is obtained according to the description of the feature,and then the sequence of the secret information and the hash sequence of the original cover image are matched one by one.If the values are not the same,the image blocks of the original cover image are replaced according to the secret information to get the stego image.This paper explores the effect of three features on the visual quality of stego image.Experimental results show that the feature LBP is the best.
出处 《Journal of Information Hiding and Privacy Protection》 2019年第2期49-60,共12页 信息隐藏与隐私保护杂志(英文)
基金 This work is supported by the National Key R&D Program of China under grant 2018YFB1003205 by the National Natural Science Foundation of China under grant U1836208,U1536206,U1836110,61602253,61672294 by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20181407 by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund by the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET)fund,China.
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