資源簡介
本matlab函數,利用混沌映射不可預測性,遍歷性和敏感性,以它們的參數和初始值的優異特性的,實現一個圖像加密算法。我們引入了一個新的二維logistics函數。與現有的混沌映射相比,它具有更廣泛的范圍內混亂,更好的遍歷性,混沌性和relativelylow實施成本。為了研究及其應用,我們提出了一個之亂轉換(CMT),以有效地改變圖像的像素位置。結合2D-logistics與CMT,我們進一步實現圖像加密算法。
代碼片段和文件信息
function?[?T?]?=?CMT(?PI?)
%P?is?the?original?matric?and?T?is?the?shuffled?result?of?CMT?using?I
%I?is?index?matrix?and?must?has?the?same?size?with?P
[mn]?=?size(I);
for?i=1:m
????for?j=1:n
????????T(?I(ij)?j?)?=?P(?I(imod((j+i)-1n)+1)?mod((j+i)-1n)+1?);
????end
end
end
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件?????5428689??2020-11-12?21:24??2D?logistic?image?encrytion\2d?logistic?image?encrytion.pdf
?????文件?????????291??2020-11-12?21:24??2D?logistic?image?encrytion\CMT.m
?????文件?????????440??2020-11-12?21:24??2D?logistic?image?encrytion\CMT_IEA.asv
?????文件?????????446??2020-11-12?21:24??2D?logistic?image?encrytion\CMT_IEA.m
?????文件?????????337??2020-11-12?21:24??2D?logistic?image?encrytion\D2_Logistic.m
?????文件?????????370??2020-11-12?21:24??2D?logistic?image?encrytion\D2_SLMM.m
?????文件?????????453??2020-11-12?21:24??2D?logistic?image?encrytion\GenerateI.m
?????文件?????????209??2020-11-12?21:24??2D?logistic?image?encrytion\generateS.m
- 上一篇:數字圖像相關方法(DIC)的計算位移和應變
- 下一篇:整車三自由度模型
評論
共有 條評論