DocumentCode :
3007703
Title :
An Improved Image Scrambling Algorithm
Author :
Che, Shengbing ; Che, Zuguo ; Bin Ma
Author_Institution :
Coll. of Comput. Sci., Central South Univ. of Forestry & Technol., Changsha
fYear :
2008
fDate :
25-26 Sept. 2008
Firstpage :
495
Lastpage :
499
Abstract :
Image unchangeable coefficient rule in discrete cosine and wavelet transformation was proved when it was scrambled in spatial domain. Based on the constructed composite chaotic iterative dynamic system, whose invariant distribution density was one, and in order to initialize for composite chaotic iterative dynamic system, it put forward two construced functions using image scramble constant as input parameter. Then a fragile and adaptive image scrambling algorithm and two new scrambling evaluative parameter were brought forward. They were called similar degree and anti-tamper radius. Experiments showed that the algorithm could extract original image without any accessional information, it was sensitive to all kinds of attack, its anti-tamper radius was larger than current scrambling algorithms. So the algorithm could be applied to the situation of the strictest requests, such as lawcourt and physic etc.
Keywords :
discrete cosine transforms; feature extraction; image processing; security of data; wavelet transforms; anti-tamper radius; composite chaotic iterative dynamic system; discrete cosine transformation; image scrambling algorithm; image unchangeable coefficient; invariant distribution density; wavelet transformation; Chaos; Computer science; Cryptography; Educational institutions; Genetics; Information security; Iterative algorithms; Physics; Pixel; Sorting; adaptive scrambling; anti-tamper radius; composite chaotic iterative dynamic system; fragile scrambling; image scrambling constant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
Type :
conf
DOI :
10.1109/WGEC.2008.7
Filename :
4637493
Link To Document :
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