Status已發表Published
An image scrambling algorithm using parameter bases M-sequences
Zhou, Y. C.; Panetta, K. ; Agaian, S.
2008-09-05
Source Publication2008 IEEE International Conference on Machine Learning and Cybernetics
Pages3695-3698
PublisherIEEE
AbstractImage scrambling is a useful approach to secure the image data by transforming the image into an unintelligible format. This paper introduces a new parameter based M-sequence which can be produced by a series of shift registers. In addition, a new image scrambling algorithm based on the parametric M-sequence is presented. The user can change the security keys, r, which indicates the number of shift operations to be implemented, or the distance parameter p, to generate many different M-sequences. This makes the scrambled images difficult to decode thus providing a high level of security protection for the images. The presented algorithm can encrypt the 2-D or 3-D images in one step. It also shows good performance in the image attacks such as filters (data loss) and noise attacks. The algorithm can be applied in the real-time applications since it is a straightforward process and easily implemented.
Keywordparametric M-sequence Image scrambling algorithm
URLView the original
Language英語English
The Source to ArticlePB_Publication
PUB ID28409
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhou, Y. C.
Recommended Citation
GB/T 7714
Zhou, Y. C.,Panetta, K. ,Agaian, S.. An image scrambling algorithm using parameter bases M-sequences[C]:IEEE, 2008, 3695-3698.
APA Zhou, Y. C.., Panetta, K. ., & Agaian, S. (2008). An image scrambling algorithm using parameter bases M-sequences. 2008 IEEE International Conference on Machine Learning and Cybernetics, 3695-3698.
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