Baker Map’s Itinerary Based Image Scrambling Method and Its Watermarking Application in DWT Domain
Author(s) -
Ruisong Ye,
Leyi Zhuang
Publication year - 2012
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2012.01.02
Subject(s) - scrambling , watermark , digital watermarking , artificial intelligence , computer vision , pixel , discrete wavelet transform , computer science , image (mathematics) , preprocessor , robustness (evolution) , pattern recognition (psychology) , information hiding , image processing , mathematics , wavelet , algorithm , wavelet transform , biochemistry , chemistry , gene
An image scrambling method based on the itinerary of the improved 3D Baker map is proposed in this paper. The standard 3D Baker map is improved by the tent map, so that the itinerary becomes more complicated and can be used to encode the image pixel positions to scramble the image. The scrambling method is applied to the preprocessing in watermarking. The watermark bits are embedded in the discrete wavelet transform (DWT) spectral domain based on the scrambling of watermark, the odd- even adjustment rule and the neighbor mean value. The watermark bits are embedded in medium coefficients in DWT domain of the host image. Experimental results show that the watermarked image looks visually identical to the original one and the watermark can be effectively extracted upon image processing attacks, which demonstrates strong robustness against a variety of attacks.
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