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基于混沌Gyrator變換與壓縮感知的光學(xué)圖像加密算法
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陜西機電職業(yè)技術(shù)學(xué)院

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An Optical Image Encryption Algorithm Based on Chaotic Gyrator Transform and Compressed Sensing
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Shanxi institute of meshatronic technology,Shanxi,baoji,721001

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    為了增強光學(xué)加密技術(shù)的安全性與降低密文的數據容量,本文提出了基于混沌Gyrator變換與壓縮感知的光學(xué)圖像加密算法。首先,引入Logistic映射,利用明文特性 來(lái)生成其初值,利用其輸出的混沌序列來(lái)生成壓縮感知的測量矩陣;隨后,基于壓縮感知理論,對明文進(jìn)行預處理,獲取中間密文;利用logistic映射的隨機序列來(lái)計算Gyrator變換的旋轉角度,聯(lián)合隨機相位掩碼,利用Gyrator變換方法對中間密文完成光學(xué)調制,得到最終密文。實(shí)驗結果顯示:與當前光學(xué)加密技術(shù)相比,所提算法具有更高的安全性與抗明文攻擊能力。

    Abstract:

    In order to enhance the security of optical encryption technology and reduce the data capacity of cipher, an optical image encryption algorithm based on chaotic Gyrator transform and compressive sensing was proposed in this paper. Firstly, the plaintext characteristics were introduced to generate the initial value of Logistic map, and the output of chaotic sequences was used to generate two measurement matrices for compressed sensing. Then, based on compressed sensing theory, the intermediate cipher was got by using the compressed sensing theory to process the plaint. Finally, the rotation angle of Gyrator transformation was calculated by using the random sequence of logistic map. Finally, the intermediate cipher was fished optical modulation by jointing random phase mask to get the final cipher. The experimental results show that the proposed algorithm has higher security and anti plaintext attack capability compared with the current optical encryption technology.

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楊鵬.基于混沌Gyrator變換與壓縮感知的光學(xué)圖像加密算法計算機測量與控制[J].,2018,26(7):251-255.

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  • 收稿日期:2018-04-09
  • 最后修改日期:2018-04-28
  • 錄用日期:2018-05-02
  • 在線(xiàn)發(fā)布日期: 2018-07-26
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