2D-logistic-image-encrytion

  本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。(In this matlab test,we use the chastic s excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps are widely used in security applications. In this paper, we introduce a new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived the Logistic and Sine maps. Compared with existing chaotic maps,it has the wider chaotic range, better ergodicity, hyperchaotic property and relativelylow implementation cost. To investigate its applications, we propose a chaotic magic trans-form (CMT) to efficiently change the image pixel positions. Combining 2D-SLMM with CMT, we further introduce a new image encryption algorithm. )

2D logistic image encrytion
...........................\2d logistic image encrytion.pdf,5428689,2014-12-14
...........................\CMT.m,291,2014-12-23
...........................\CMT_IEA.asv,440,2014-12-24
...........................\CMT_IEA.m,446,2014-12-24
...........................\D2_Logistic.m,337,2014-12-23
...........................\D2_SLMM.m,370,2014-12-23
...........................\GenerateI.m,453,2014-12-23
...........................\generateS.m,209,2014-12-24