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    題名: An Optimization Model for Visual Cryptography Schemes with Unexpanded Shares
    作者: Hsu, Ching-Sheng;Tu, Shu-Fen;Hou, Young-Chang
    貢獻者: 淡江大學資訊管理學系
    關鍵詞: Data privacy;Data storage equipment;Genetic algorithms;Optimization;Set theory;Visual communication;Optimization model;Pixels;Secret images;Visual cryptography;Cryptography
    日期: 2006
    上傳時間: 2013-03-12 11:03:39 (UTC+8)
    出版者: Heidelberg: Springer
    摘要: Visual cryptography schemes encrypt a secret image into n shares so that any qualified set of shares enables one to visually decrypt the hidden secret; whereas any forbidden set of shares cannot leak out any secret information. In the study of visual cryptography, pixel expansion and contrast are two important issues. Since pixel-expansion based methods encode a pixel to many pixels on each share, the size of the share is larger than that of the secret image. Therefore, they result in distortion of shares and consume more storage space. In this paper, we propose a method to reach better contrast without pixel expansion. The concept of probability is used to construct an optimization model for general access structures, and the solution space is searched by genetic algorithms. Experimental result shows that the proposed method can reach better contrast and blackness of black pixels in comparison with Ateniese et al.’s.
    關聯: Lecture Notes in Computer Science 4203, pp.58-67
    DOI: 10.1007/11875604_8
    顯示於類別:[資訊管理學系暨研究所] 期刊論文

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