Title :
A New Scrambling Method Based on Arnold and Fermat Number Transformation
Author :
Yanqun, Zhang ; Qianping, Wang
Author_Institution :
Coll. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
In the preprocessing of digital image information hiding, the common scrambling method Arnold based on locational space canpsilat change the statistical character of an image. Because of using fixed form matrix, the image is detected and attacked easily. Combining with the Fermat number transformation matrix changeable, the fast algorithm like FFT and solving the inverse matrix simply, this paper presents a new secondary scrambling method based on color space and locational space. Experiments show this method based on Arnold can reach ideally scrambling effect after only one time Fermat number transformation, and it is robust to cropping attack, so it is very useful in digital image information hiding.
Keywords :
image coding; matrix algebra; security of data; transforms; Arnold number transformation; Fermat number transformation matrix; color space; digital image information hiding; inverse matrix; locational space; scrambling method; Application software; Color; Computer science; Digital images; Educational institutions; Image resolution; Image storage; Robustness; Security; Watermarking; image scrambling; information hiding; number theoretic transformation;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.252